Notebook VAE Part 2 PanCan Figure 6

Here we just want some validation plots in terms of the VAE, RNA and protein differences¶

We want to:

1. Plot the correlation between VAE diff and protein logFC for certain pathways so that we can see if it fits...

In [1]:

#gene,term

import matplotlib.pyplot as plt
import pandas as pd

df = pd.read_csv('Output_Data/mean_Integrated_comparison_Late-Early.csv')
df

Out[1]:

	id	RG2_Changes_filtered	Integrated padj (Late-Early)	Integrated pval (Late-Early)	Integrated diff (Late-Early)	mannwhitneyu stat (Late-Early)	Integrated mean (Early)	Integrated mean (Late)	Protein-LogFC mean (Late-Early)	RNA-LogFC mean (Late-Early)	CpG-LogFC mean (Late-Early)	entrezgene_id	logFC_rna	padj_rna	beta_diff	adj.P.Val	logFC_protein	padj_protein
0	C1orf112	MDE_TMDS	0.650835	0.443161	0.053416	3964.0	0.132174	0.185591	0.000000	-0.062532	-0.010414	55732.0	1.018418	1.889733e-146	-0.130202	2.488471e-11	0.000000	0.000000e+00
1	GCLC	MDE_TMDS	0.885669	0.769598	-0.014134	4363.0	-0.247974	-0.262108	-0.110191	-0.495048	-0.038856	2729.0	1.258770	3.811648e-41	-0.183812	1.330118e-14	-0.211540	8.987759e-08
2	MYH16	MDE_TMDS	0.544537	0.319318	0.174807	3878.0	-0.797730	-0.622923	0.000000	0.156616	-0.011335	0.0	1.905127	7.772147e-82	-0.276446	1.586550e-95	0.000000	0.000000e+00
3	AOC1	MDE_TMDS	0.265974	0.093962	-0.294518	4882.0	-0.395450	-0.689968	0.000000	-0.643947	-0.028248	26.0	1.298611	1.104535e-18	-0.161715	2.457474e-56	0.000000	0.000000e+00
4	HECW1	MDE_TMDS	0.059949	0.003672	-0.259635	5344.0	0.076750	-0.182885	0.000000	-0.425797	0.003721	23072.0	1.817746	3.643805e-87	-0.413608	4.137297e-48	0.000000	0.000000e+00
...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...	...
2786	UBE2C	TPDE	0.681323	0.478768	-0.069379	3986.0	0.606253	0.536875	0.060576	-0.433428	0.028652	11065.0	3.068483	1.189915e-235	-0.086357	5.247010e-23	1.059049	5.974624e-85
2787	MARCKSL1	TPDE	0.667991	0.361076	-0.083747	3909.0	0.374972	0.291225	-0.036182	-0.081735	0.000696	65108.0	1.497418	3.512101e-119	-0.038387	7.064083e-08	0.757844	2.074925e-80
2788	KPNA2	TPDE	0.817618	0.717254	0.048006	4389.0	0.538829	0.586835	0.032563	-0.207898	-0.002478	3838.0	1.635864	3.636493e-196	-0.016457	3.887727e-10	0.772640	1.897238e-103
2789	KRT14	TPDE	0.227305	0.034271	0.390430	5048.0	-0.710858	-0.320428	0.096617	0.196514	0.009126	3861.0	3.778193	1.550211e-67	-0.036641	3.051628e-03	0.942657	8.304172e-45
2790	JPT1	TPDE	0.051570	0.002788	-0.384941	3129.0	0.426748	0.041807	-0.253358	-0.599356	0.000000	51155.0	1.161106	3.317727e-99	0.000000	0.000000e+00	0.848629	8.841983e-126

2791 rows × 18 columns

In [2]:

plt.scatter(df['Integrated mean (Early)'], df['Integrated mean (Late)'])

Out[2]:

<matplotlib.collections.PathCollection at 0x124612d40>

In [26]:

pathway = pd.read_csv('Required_Refs/GSEA/41467_2016_BFncomms13041_MOESM340_ESM.csv')

pathway_dict = {}
for p in set(pathway.term.values):
    pathway_dict[p] = list(pathway[pathway.term == p].gene.values)

In [27]:

for p in pathway_dict:
    if 'OXIDATIVE' in p or 'CYCLE' in p or 'METH' in p:
        print(p)
        
for p in pathway_dict:
    if 'Oxidative' in p or 'cycle' in p or 'Steroid' in p or 'Meth' in p or 'Tryp' in p or 'Glut' in p or 'O-Glycan Biosynthesis' in p:
        print(p)

Glutamate metabolism
Oxidative Phosphorylation
Glutathione Metabolism
O-Glycan Biosynthesis
DNA Methylation
Steroid Metabolism
Histone Methylation
Tryptophan metabolism
Methionine Metabolism

In [28]:

import matplotlib.pyplot as plt
plt.rcParams["figure.figsize"] = (4, 8)
plt.rcParams['svg.fonttype'] = 'none'

for k in ['O-Glycan Biosynthesis',
            'Steroid Metabolism', 
         'Tryptophan metabolism']:
    path_df = df[df.id.isin(pathway_dict[k])]
    lbls = path_df['RG2_Changes_filtered'].values
    path_df['id'] = [f'{g} {lbls[i]}' for i, g in enumerate(path_df['id'].values)]
    path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
    path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)
    print(f'\n{k}\n')
    print('\n'.join([c.split(' ')[0] for c in path_df['id'].values]))


# HNSC
# LUAD
# LUSC
# PAAD

O-Glycan Biosynthesis

B3GNT6
GCNT3
GALNT14
GALNT7

Steroid Metabolism

UGT1A10
AKR1C4
SLCO1B3
HSD17B1
CYP19A1
DHCR24
ABCC1
TM7SF2
SLCO1B1
AKR1C1
SULT1A1
HMGCS2
CYP11A1

Tryptophan metabolism

TDO2
INMT
KYNU
HAAO
SLC7A5
ALDH2
MAOB
MAOA

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/964214514.py:10: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['id'] = [f'{g} {lbls[i]}' for i, g in enumerate(path_df['id'].values)]
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/964214514.py:11: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/964214514.py:12: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/964214514.py:10: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['id'] = [f'{g} {lbls[i]}' for i, g in enumerate(path_df['id'].values)]
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/964214514.py:11: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/964214514.py:12: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/964214514.py:10: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['id'] = [f'{g} {lbls[i]}' for i, g in enumerate(path_df['id'].values)]
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/964214514.py:11: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/964214514.py:12: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

In [33]:

plt.rcParams["figure.figsize"] = (2, 2)
plt.rcParams['svg.fonttype'] = 'none'

for k in ['O-Glycan Biosynthesis', 'Steroid Metabolism', 'Glutamate metabolism', 'Tryptophan metabolism', 'Oxidative Phosphorylation', 'Methionine Metabolism', 'Citric Acid Cycle']:
    path_df = df[df.id.isin(pathway_dict[k])]
    lbls = path_df['RG2_Changes_filtered'].values
    path_df['id'] = [f'{g} {lbls[i]}' for i, g in enumerate(path_df['id'].values)]
    path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
    path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)
    x3 = path_df['id'].values
    y3_new = path_df['Integrated mean (Late)'].values
    y2_new = path_df['Integrated mean (Early)'].values
    line_colours = ['red' if p < 0.05 else 'grey' for p in path_df['Integrated pval (Late-Early)'].values]


    plt.figure()
    plt.hlines(y=x3, xmin = y3_new , xmax = y2_new, color=line_colours)
    plt.scatter(y2_new, x3, color='green', s=50, label='Early', zorder=10)
    plt.scatter(y3_new, x3, color='orange', s=50 , label='Late', zorder=10)
    plt.legend(loc="upper left")

    # # Add title and axis names
    plt.title(k, loc='left')
    plt.savefig(f'Output_Figures/Pathways/{k}.svg')
    plt.show()

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/1457905715.py:7: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['id'] = [f'{g} {lbls[i]}' for i, g in enumerate(path_df['id'].values)]
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/1457905715.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/1457905715.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/1457905715.py:7: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['id'] = [f'{g} {lbls[i]}' for i, g in enumerate(path_df['id'].values)]
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/1457905715.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/1457905715.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/1457905715.py:7: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['id'] = [f'{g} {lbls[i]}' for i, g in enumerate(path_df['id'].values)]
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/1457905715.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/1457905715.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/1457905715.py:7: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['id'] = [f'{g} {lbls[i]}' for i, g in enumerate(path_df['id'].values)]
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/1457905715.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/1457905715.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/1457905715.py:7: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['id'] = [f'{g} {lbls[i]}' for i, g in enumerate(path_df['id'].values)]
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/1457905715.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/1457905715.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/1457905715.py:7: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['id'] = [f'{g} {lbls[i]}' for i, g in enumerate(path_df['id'].values)]
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/1457905715.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/1457905715.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/1457905715.py:7: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['id'] = [f'{g} {lbls[i]}' for i, g in enumerate(path_df['id'].values)]
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/1457905715.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/1457905715.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

In [30]:

plt.rcParams["figure.figsize"] = (2, 2)
plt.rcParams['svg.fonttype'] = 'none'

for k in ['Steroid Metabolism', 'Glutamate metabolism', 'Tryptophan metabolism', 'Oxidative Phosphorylation', 'Methionine Metabolism', 'Citric Acid Cycle']:
    path_df = df[df.id.isin(pathway_dict[k])]
    lbls = path_df['RG2_Changes_filtered'].values
    path_df['id'] = [f'{g} {lbls[i]}' for i, g in enumerate(path_df['id'].values)]
    path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
    path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)
    x3 = path_df['id'].values
    y3_new = path_df['Integrated mean (Late)'].values
    y2_new = path_df['Integrated mean (Early)'].values
    line_colours = ['red' if p < 0.05 else 'grey' for p in path_df['Integrated pval (Late-Early)'].values]


    plt.figure()
    plt.hlines(y=x3, xmin = y3_new , xmax = y2_new, color=line_colours)
    plt.scatter(y2_new, x3, color='green', s=50, label='Early', zorder=10)
    plt.scatter(y3_new, x3, color='orange', s=50 , label='Late', zorder=10)
    plt.legend(loc="upper left")

    # # Add title and axis names
    plt.title(k, loc='left')
    plt.savefig(f'Output_Figures/Pathways/{k}.svg')
    plt.show()

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2738595440.py:7: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['id'] = [f'{g} {lbls[i]}' for i, g in enumerate(path_df['id'].values)]
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2738595440.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2738595440.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2738595440.py:7: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['id'] = [f'{g} {lbls[i]}' for i, g in enumerate(path_df['id'].values)]
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2738595440.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2738595440.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2738595440.py:7: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['id'] = [f'{g} {lbls[i]}' for i, g in enumerate(path_df['id'].values)]
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2738595440.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2738595440.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2738595440.py:7: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['id'] = [f'{g} {lbls[i]}' for i, g in enumerate(path_df['id'].values)]
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2738595440.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2738595440.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2738595440.py:7: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['id'] = [f'{g} {lbls[i]}' for i, g in enumerate(path_df['id'].values)]
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2738595440.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2738595440.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2738595440.py:7: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['id'] = [f'{g} {lbls[i]}' for i, g in enumerate(path_df['id'].values)]
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2738595440.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2738595440.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

In [8]:

plt.rcParams["figure.figsize"] = (3, 3)
plt.rcParams['svg.fonttype'] = 'none'

for k in ['Steroid Metabolism', 'Glutamate metabolism', 'Tryptophan metabolism', 'Oxidative Phosphorylation', 'Methionine Metabolism', 'Citric Acid Cycle']:
    path_df = df[df.id.isin(pathway_dict[k])]
    lbls = path_df['RG2_Changes_filtered'].values
    #path_df['id'] = [f'{g} {lbls[i]}' for i, g in enumerate(path_df['id'].values)]
    path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
    path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)
    x3 = path_df['id'].values
    y3_new = path_df['Integrated mean (Late)'].values
    y2_new = path_df['Integrated mean (Early)'].values

    line_colours = ['red' if p < 0.05 else 'grey' for p in path_df['Integrated pval (Late-Early)'].values]

    plt.figure()
    plt.hlines(y=x3, xmin = y3_new , xmax = y2_new, color=line_colours, alpha=1.0)
    plt.scatter(y2_new, x3, color='green', s=50, label='Early', zorder=10)
    plt.scatter(y3_new, x3, color='orange', s=50 , label='Late', zorder=10)
    plt.legend(loc="upper left")

    # # Add title and axis names
    plt.title(k, loc='left')
    plt.savefig(f'Output_Figures/Pathways/{k}.svg')
    plt.show()

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/3896126042.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/3896126042.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/3896126042.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/3896126042.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/3896126042.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/3896126042.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/3896126042.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/3896126042.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/3896126042.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/3896126042.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/3896126042.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/3896126042.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

In [9]:

plt.rcParams["figure.figsize"] = (4, 6)

import matplotlib.pyplot as plt

for k in pathway_dict.keys():
    path_df = df[df.id.isin(pathway_dict[k])]

    path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
    path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)
    x3 = path_df['id'].values
    y3_new = path_df['Integrated mean (Late)'].values
    y2_new = path_df['Integrated mean (Early)'].values
    line_colours = ['red' if p < 0.05 else 'grey' for p in path_df['Integrated pval (Late-Early)'].values]


    plt.figure()
    plt.hlines(y=x3, xmin = y3_new , xmax = y2_new, color=line_colours)
    plt.scatter(y2_new, x3, color='green', s=50, label='Early', zorder=10)
    plt.scatter(y3_new, x3, color='orange', s=50 , label='Late', zorder=10)
    plt.legend(loc="upper left")


    # # Add title and axis names
    plt.title(k, loc='left')
    plt.savefig(f'Output_Figures/Pathways/{k}.svg')
    plt.show()
    # plt.xlabel('Value of the variables')
    # plt.ylabel('Alter')

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:8: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/2650841924.py:9: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

In [10]:

path_df = df[df.id.isin(pathway_dict['Methionine Metabolism'])]
path_df

Out[10]:

	id	RG2_Changes_filtered	Integrated padj (Late-Early)	Integrated pval (Late-Early)	Integrated diff (Late-Early)	mannwhitneyu stat (Late-Early)	Integrated mean (Early)	Integrated mean (Late)	Protein-LogFC mean (Late-Early)	RNA-LogFC mean (Late-Early)	CpG-LogFC mean (Late-Early)	entrezgene_id	logFC_rna	padj_rna	beta_diff	adj.P.Val	logFC_protein	padj_protein
69	DNMT3B	MDE_TMDS	0.759613	0.572415	0.059802	4040.0	0.083102	0.142904	0.000000	0.019594	-0.031471	1789.0	1.311982	1.656713e-61	-0.164215	6.520902e-29	0.000000	0.000000e+00
897	GNMT	TPDS_TMDE	0.804628	0.747309	0.007658	4131.0	1.492589	1.500246	0.000000	0.020502	-0.022558	27232.0	-1.168812	3.085954e-28	0.042485	2.341655e-10	0.000000	0.000000e+00
965	SLC3A1	TPDS_TMDE	0.166434	0.108943	-0.219243	4855.0	0.746769	0.527526	0.000000	0.082870	-0.154301	6519.0	-1.124188	7.812266e-44	-0.169703	1.715017e-06	0.000000	0.000000e+00
1528	DNMT1	TMDE	0.974510	0.974510	0.066482	4240.0	0.359377	0.425858	-0.021435	0.121508	0.033127	1786.0	0.570657	5.699790e-62	-0.117107	8.274212e-11	0.522027	1.281803e-102

In [11]:

plt.scatter(path_df['Protein-LogFC mean (Late-Early)'], path_df['RNA-LogFC mean (Late-Early)'], c=path_df['CpG-LogFC mean (Late-Early)'].values)

Out[11]:

<matplotlib.collections.PathCollection at 0x127ffe740>

In [12]:

path_df

Out[12]:

	id	RG2_Changes_filtered	Integrated padj (Late-Early)	Integrated pval (Late-Early)	Integrated diff (Late-Early)	mannwhitneyu stat (Late-Early)	Integrated mean (Early)	Integrated mean (Late)	Protein-LogFC mean (Late-Early)	RNA-LogFC mean (Late-Early)	CpG-LogFC mean (Late-Early)	entrezgene_id	logFC_rna	padj_rna	beta_diff	adj.P.Val	logFC_protein	padj_protein
69	DNMT3B	MDE_TMDS	0.759613	0.572415	0.059802	4040.0	0.083102	0.142904	0.000000	0.019594	-0.031471	1789.0	1.311982	1.656713e-61	-0.164215	6.520902e-29	0.000000	0.000000e+00
897	GNMT	TPDS_TMDE	0.804628	0.747309	0.007658	4131.0	1.492589	1.500246	0.000000	0.020502	-0.022558	27232.0	-1.168812	3.085954e-28	0.042485	2.341655e-10	0.000000	0.000000e+00
965	SLC3A1	TPDS_TMDE	0.166434	0.108943	-0.219243	4855.0	0.746769	0.527526	0.000000	0.082870	-0.154301	6519.0	-1.124188	7.812266e-44	-0.169703	1.715017e-06	0.000000	0.000000e+00
1528	DNMT1	TMDE	0.974510	0.974510	0.066482	4240.0	0.359377	0.425858	-0.021435	0.121508	0.033127	1786.0	0.570657	5.699790e-62	-0.117107	8.274212e-11	0.522027	1.281803e-102

Make the boxplots¶

In [13]:

# Now we can iterate through each one and do whatever we need to do
plt.rcParams["figure.figsize"] = (12, 3)
plt.rcParams['svg.fonttype'] = 'none' 
import os
from sciviso import Boxplot

fig_size = (12, 3)
vis_opts = {"figsize": fig_size, "title_font_size": 12, "axis_font_size": 10, 
           'palette': ['lightgrey', 'dimgrey']}

def plot_gene_logfcs(gene_name, cond0, cond1, x="Stage", cmap="Purples"):
    fig, ax = plt.subplots(nrows=1, ncols=5)
    #gene_name = ens_to_gene.get(gene)
    box_data_df = dfs['Integrated']
    #try:
    gene = gene_name
    box_data_df = box_data_df[box_data_df[x].isin([cond0, cond1])]
    gene_data = box_data_df[box_data_df['GeneId'] == gene]
    b = Boxplot(gene_data, x=x, y="values",  add_dots=True, 
            add_stats=True, title=f'Integrated diff.',
            xlabel="Sample", ylabel=f'diff. {cond1}-{cond0}', config=vis_opts)
    b.plot(ax=ax[0], legend=False)
    #nt('Integrated')
    
    box_data_df = dfs['Protein-LogFC']
    try:
        box_data_df = box_data_df[box_data_df[x].isin([cond0, cond1])]
        gene_data = box_data_df[box_data_df['GeneId'] == gene]
        b = Boxplot(gene_data, x=x, y="values", add_dots=True, 
                add_stats=True, title=f'Protein logFC',
                xlabel="Sample", ylabel=f"Protein  {cond1}-{cond0}", config=vis_opts)
        b.plot(ax=ax[1])
    except:
        print('Protein logFC')
        
    box_data_df = dfs['Protein-Tumor']
    try:
        box_data_df = box_data_df[box_data_df[x].isin([cond0, cond1])]
        gene_data = box_data_df[box_data_df['GeneId'] == gene]
        b = Boxplot(gene_data, x=x, y="values", add_dots=True, 
                add_stats=True, title=f'Protein Tumor',
                xlabel="Sample", ylabel=f"Protein  {cond1}-{cond0}", config=vis_opts)
        b.plot(ax=ax[2])
    except:
        print('Protein')
        
    box_data_df = dfs['RNA-LogFC']
    try:
        box_data_df = box_data_df[box_data_df[x].isin([cond0, cond1])]
        gene_data = box_data_df[box_data_df['GeneId'] == gene]
        b = Boxplot(gene_data, x=x, y="values", add_dots=True, 
                add_stats=True, title=f'RNA logFC',
                xlabel="Sample", ylabel=f"RNA {cond1}-{cond0}", config=vis_opts)
        b.plot(ax=ax[3])
    except:
        print('RNA')
    box_data_df = dfs['Protein-Normal']
    try:
        box_data_df = box_data_df[box_data_df[x].isin([cond0, cond1])]
        gene_data = box_data_df[box_data_df['GeneId'] == gene]
        
        b = Boxplot(gene_data, x=x, y="values", add_dots=True, 
                add_stats=True, title=f'Protein Normal',
                xlabel="Sample", ylabel=f"Protein {cond1}-{cond0}", config=vis_opts)
        b.plot(ax=ax[4])
    except:
        print('CpG')
    # ALso print the URL so that I can quickly check the ones that look good in protein atlas
    print(f'https://www.proteinatlas.org/{gene}-{gene_name}/pathology/renal+cancer/KIRC')
    fig.suptitle(f'{gene_name} ({cond1}-{cond0})', fontsize=16, fontweight='bold')
    fig.tight_layout()
    fig.subplots_adjust(top=0.8)
    if save_fig:
        plt.savefig(f'{fig_dir}boxplot_{gene_name}_{cond1}-{cond0}.svg')
    plt.show()

In [14]:

# Now we can iterate through each one and do whatever we need to do
plt.rcParams["figure.figsize"] = (12, 3)
plt.rcParams['svg.fonttype'] = 'none' 
import os
from sciviso import Boxplot

fig_size = (12, 3)
vis_opts = {"figsize": fig_size, "title_font_size": 12, "axis_font_size": 10, 
           'palette': ['lightgrey', 'dimgrey']}

def plot_gene_logfcs(gene_name, cond0, cond1, x="Stage", cmap="Purples"):
    fig, ax = plt.subplots(nrows=1, ncols=5)
    #gene_name = ens_to_gene.get(gene)
    box_data_df = dfs['Integrated']
    #try:
    gene = gene_name
    box_data_df = box_data_df[box_data_df[x].isin([cond0, cond1])]
    gene_data = box_data_df[box_data_df['GeneId'] == gene]
    b = Boxplot(gene_data, x=x, y="values",  add_dots=True, 
            add_stats=True, title=f'Integrated diff.',
            xlabel="Sample", ylabel=f'diff. {cond1}-{cond0}', config=vis_opts)
    b.plot(ax=ax[0], legend=False)
    #nt('Integrated')
    
    box_data_df = dfs['Protein-Normal']
    try:
        box_data_df = box_data_df[box_data_df[x].isin([cond0, cond1])]
        gene_data = box_data_df[box_data_df['GeneId'] == gene]
        b = Boxplot(gene_data, x=x, y="values", add_dots=True, 
                add_stats=True, title=f'Protein Normal',
                xlabel="Sample", ylabel=f"Protein  {cond1}-{cond0}", config=vis_opts)
        b.plot(ax=ax[1])
    except:
        print('Protein logFC')
        
    box_data_df = dfs['Protein-Tumor']
    try:
        box_data_df = box_data_df[box_data_df[x].isin([cond0, cond1])]
        gene_data = box_data_df[box_data_df['GeneId'] == gene]
        b = Boxplot(gene_data, x=x, y="values", add_dots=True, 
                add_stats=True, title=f'Protein Tumor',
                xlabel="Sample", ylabel=f"Protein  {cond1}-{cond0}", config=vis_opts)
        b.plot(ax=ax[2])
    except:
        print('Protein')
        
    box_data_df = dfs['RNA-Normal']
    try:
        box_data_df = box_data_df[box_data_df[x].isin([cond0, cond1])]
        gene_data = box_data_df[box_data_df['GeneId'] == gene]
        b = Boxplot(gene_data, x=x, y="values", add_dots=True, 
                add_stats=True, title=f'RNA Normal',
                xlabel="Sample", ylabel=f"RNA {cond1}-{cond0}", config=vis_opts)
        b.plot(ax=ax[3])
    except:
        print('RNA')
    box_data_df = dfs['RNA-Tumor']
    try:
        box_data_df = box_data_df[box_data_df[x].isin([cond0, cond1])]
        gene_data = box_data_df[box_data_df['GeneId'] == gene]
        
        b = Boxplot(gene_data, x=x, y="values", add_dots=True, 
                add_stats=True, title=f'RNA Tumor',
                xlabel="Sample", ylabel=f"RNA {cond1}-{cond0}", config=vis_opts)
        b.plot(ax=ax[4])
    except:
        print('CpG')
    # ALso print the URL so that I can quickly check the ones that look good in protein atlas
    print(f'https://www.proteinatlas.org/{gene}-{gene_name}/pathology/renal+cancer/KIRC')
    fig.suptitle(f'{gene_name} ({cond1}-{cond0})', fontsize=16, fontweight='bold')
    fig.tight_layout()
    fig.subplots_adjust(top=0.8)
    if save_fig:
        plt.savefig(f'{fig_dir}boxplot_{gene_name}_{cond1}-{cond0}.svg')
    plt.show()

In [15]:

dfs = {}
files = os.listdir('Output_Data')
for f in files:
    if 'csv' in f and 'Boxplot_data_' in f:
        d = f.replace('.csv', '').replace('Boxplot_data_', '')
        dfs[d] = pd.read_csv(f'Output_Data/{f}')

In [16]:

df[df['id'] == 'TRIP13']

Out[16]:

	id	RG2_Changes_filtered	Integrated padj (Late-Early)	Integrated pval (Late-Early)	Integrated diff (Late-Early)	mannwhitneyu stat (Late-Early)	Integrated mean (Early)	Integrated mean (Late)	Protein-LogFC mean (Late-Early)	RNA-LogFC mean (Late-Early)	CpG-LogFC mean (Late-Early)	entrezgene_id	logFC_rna	padj_rna	beta_diff	adj.P.Val	logFC_protein	padj_protein
2668	TRIP13	MDE	0.716941	0.460772	-0.085201	4530.0	0.631976	0.546775	-0.092878	-0.176357	-0.037016	9319.0	2.408343	3.291025e-216	-0.279962	8.886760e-40	0.881535	2.567370e-70

In [17]:

save_fig = False
for gene_name in ['FLT1', 'HIF1A', 'SLC3A1', 'BHMT', 'TRIP13', ]:
    # Do the same for old and young
    # And stage
    try:
        plot_gene_logfcs(gene_name, 'Stage I', 'Stage IV',  x='Tumor Stage')
        plot_gene_logfcs(gene_name, 'Early', 'Late',  x='Stage')
    except:
        print(gene_name)

FLT1
HIF1A

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Stage I v.s. Stage IV: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=5.612e-02 U_stat=4.050e+02

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 6.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 90.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 65.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 6.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Stage I v.s. Stage IV: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=1.000e+00 U_stat=1.235e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 90.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 65.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 7.8% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 92.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 73.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 90.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 65.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 7.8% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Stage I v.s. Stage IV: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=1.000e+00 U_stat=1.235e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 92.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 73.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 7.8% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 92.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 73.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 19.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 15.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 7.8% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Stage I v.s. Stage IV: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=4.565e-03 U_stat=4.140e+02

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 92.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 73.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 28.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 25.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 7.8% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 92.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 73.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 31.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 30.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 7.8% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Stage I v.s. Stage IV: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=7.921e-01 U_stat=6.820e+02

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 92.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 73.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 31.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 30.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 42.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/4132009676.py:71: UserWarning: The figure layout has changed to tight
  fig.tight_layout()

https://www.proteinatlas.org/SLC3A1-SLC3A1/pathology/renal+cancer/KIRC

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 15.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 45.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 25.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 47.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 20.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=1.089e-01 U_stat=3.650e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 34.8% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 11.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 36.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 9.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 95.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 90.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=1.000e+00 U_stat=9.785e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 36.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 9.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 95.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 90.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 40.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 14.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 96.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 92.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 95.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 90.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=1.000e+00 U_stat=9.785e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 40.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 14.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 96.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 92.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 40.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 14.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 96.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 92.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 50.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 31.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 40.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 14.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=4.661e-01 U_stat=5.078e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 96.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 92.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 58.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 43.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 40.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 14.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 96.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 92.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 60.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 45.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 50.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 18.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=8.833e-01 U_stat=5.336e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 40.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 14.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 96.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 92.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 60.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 45.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 56.8% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 32.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/4132009676.py:71: UserWarning: The figure layout has changed to tight
  fig.tight_layout()
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 42.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 19.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

https://www.proteinatlas.org/SLC3A1-SLC3A1/pathology/renal+cancer/KIRC

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 63.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 51.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 63.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 37.8% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

BHMT

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Stage I v.s. Stage IV: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=1.770e-01 U_stat=4.550e+02

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 6.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 16.8% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Stage I v.s. Stage IV: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=5.081e-02 U_stat=9.250e+02

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 17.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 17.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 6.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Stage I v.s. Stage IV: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=9.421e-01 U_stat=1.247e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 17.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 9.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 5.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 17.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 9.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Stage I v.s. Stage IV: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=3.910e-05 U_stat=2.810e+02

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 12.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 16.8% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 8.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 12.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 16.8% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Stage I v.s. Stage IV: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=8.668e-01 U_stat=7.280e+02

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 8.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 12.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/4132009676.py:71: UserWarning: The figure layout has changed to tight
  fig.tight_layout()

https://www.proteinatlas.org/TRIP13-TRIP13/pathology/renal+cancer/KIRC

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 25.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 15.8% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 16.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 5.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=4.608e-01 U_stat=3.975e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 12.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 12.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 33.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 14.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 12.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=7.454e-02 U_stat=8.533e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 45.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 25.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 12.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 49.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 29.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 32.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 5.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=8.369e-01 U_stat=9.640e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 12.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 49.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 29.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 43.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 17.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 12.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 49.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 29.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 46.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 21.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 37.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 14.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 12.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=3.476e-04 U_stat=3.812e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 49.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 29.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 46.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 21.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 45.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 18.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 12.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 48.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 28.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 45.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 21.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 47.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 18.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 8.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 12.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=9.259e-01 U_stat=5.444e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 48.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 28.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 45.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 21.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 47.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 18.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 13.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/4132009676.py:71: UserWarning: The figure layout has changed to tight
  fig.tight_layout()
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 19.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

https://www.proteinatlas.org/TRIP13-TRIP13/pathology/renal+cancer/KIRC

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 54.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 33.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 50.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 51.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 21.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 19.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

In [18]:

save_fig = False
for gene_name in ['AHCY', 'SUOX', 'FAH', 'GNMT']:
    # Do the same for old and young
    # And stage
    try:
        plot_gene_logfcs(gene_name, 'Stage I', 'Stage IV',  x='Tumor Stage')
        plot_gene_logfcs(gene_name, 'Early', 'Late',  x='Stage')
    except:
        print(gene_name)

AHCY
SUOX
FAH

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 9.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Stage I v.s. Stage IV: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=6.909e-01 U_stat=6.120e+02

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 14.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 90.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 65.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 14.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Stage I v.s. Stage IV: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=1.000e+00 U_stat=1.235e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 90.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 65.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 15.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 92.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 73.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 90.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 65.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 15.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Stage I v.s. Stage IV: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=1.000e+00 U_stat=1.235e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 92.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 73.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 15.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 92.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 73.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 54.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 15.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Stage I v.s. Stage IV: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=2.001e-01 U_stat=8.440e+02

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 92.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 73.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 63.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 10.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 15.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 92.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 73.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 62.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 10.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 39.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 15.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Stage I v.s. Stage IV: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=2.725e-01 U_stat=8.250e+02

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 92.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 73.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 62.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 10.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 47.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/4132009676.py:71: UserWarning: The figure layout has changed to tight
  fig.tight_layout()

https://www.proteinatlas.org/GNMT-GNMT/pathology/renal+cancer/KIRC

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 20.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 69.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 54.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 27.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=7.473e-01 U_stat=4.374e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 39.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 42.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 95.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 90.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=1.000e+00 U_stat=9.785e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 42.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 95.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 90.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 43.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 7.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 96.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 92.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 95.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 90.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=1.000e+00 U_stat=9.785e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 43.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 7.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 96.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 92.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 43.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 7.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 96.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 92.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 65.8% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 41.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 43.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 7.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=2.782e-01 U_stat=5.884e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 96.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 92.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 69.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 52.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 43.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 7.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 96.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 92.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 71.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 55.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 63.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 44.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 43.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 7.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=3.765e-01 U_stat=5.797e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 96.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 92.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 71.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 55.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 69.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 54.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/4132009676.py:71: UserWarning: The figure layout has changed to tight
  fig.tight_layout()
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 49.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 9.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

https://www.proteinatlas.org/GNMT-GNMT/pathology/renal+cancer/KIRC

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 73.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 59.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 71.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 58.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

In [19]:

save_fig = False
for gene_name in pathway_dict['Methionine Metabolism']:
    # Do the same for old and young
    # And stage
    try:
        #plot_gene_logfcs(gene_name, 'Stage I', 'Stage IV',  x='Tumor Stage')
        plot_gene_logfcs(gene_name, 'Early', 'Late',  x='Stage')
    except:
        print(gene_name)

AHCY
AHCYL1
AHCYL2
ACY1
AMD1

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 27.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=7.473e-01 U_stat=4.374e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 39.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 42.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 95.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 90.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=1.000e+00 U_stat=9.785e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 42.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 95.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 90.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 43.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 7.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 96.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 92.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 95.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 90.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=1.000e+00 U_stat=9.785e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 43.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 7.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 96.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 92.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 43.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 7.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 96.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 92.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 65.8% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 41.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 43.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 7.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=2.782e-01 U_stat=5.884e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 96.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 92.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 69.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 52.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 43.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 7.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 96.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 92.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 71.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 55.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 63.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 44.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 43.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 7.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=3.765e-01 U_stat=5.797e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 96.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 92.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 71.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 55.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 69.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 54.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/4132009676.py:71: UserWarning: The figure layout has changed to tight
  fig.tight_layout()

https://www.proteinatlas.org/GNMT-GNMT/pathology/renal+cancer/KIRC

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 49.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 9.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 73.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 59.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 71.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 58.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 10.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=9.745e-01 U_stat=4.265e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 16.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 17.8% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 37.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 11.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 17.8% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=7.828e-01 U_stat=9.591e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 47.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 18.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 17.8% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 52.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 24.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 26.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=9.722e-01 U_stat=9.760e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 17.8% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 52.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 24.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 36.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 9.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 17.8% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 52.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 24.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 40.8% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 13.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 33.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 17.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 17.8% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=1.095e-02 U_stat=6.534e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 52.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 24.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 40.8% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 13.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 43.8% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 23.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 17.8% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 52.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 24.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 40.8% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 13.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 46.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 24.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 11.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 17.8% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=9.651e-01 U_stat=5.422e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 52.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 24.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 40.8% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 13.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 46.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 24.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 21.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/4132009676.py:71: UserWarning: The figure layout has changed to tight
  fig.tight_layout()
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 21.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 7.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

https://www.proteinatlas.org/DNMT1-DNMT1/pathology/renal+cancer/KIRC

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 56.8% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 26.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 47.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 23.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 51.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 27.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 27.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 6.8% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

DNMT3A

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 9.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=5.724e-01 U_stat=4.465e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 25.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 26.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 6.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 95.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 90.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=1.000e+00 U_stat=9.785e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 26.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 6.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 95.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 90.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 30.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 7.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 96.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 92.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 95.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 90.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=1.000e+00 U_stat=9.785e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 30.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 7.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 96.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 92.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 30.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 7.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 96.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 92.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 58.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 32.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 30.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 7.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=2.267e-03 U_stat=4.044e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 96.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 92.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 65.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 39.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 30.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 7.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 96.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 92.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 66.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 40.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 15.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=9.330e-01 U_stat=5.364e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 30.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 7.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 96.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 92.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 66.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 40.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 27.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 5.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/4132009676.py:71: UserWarning: The figure layout has changed to tight
  fig.tight_layout()

https://www.proteinatlas.org/DNMT3B-DNMT3B/pathology/renal+cancer/KIRC

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 34.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 9.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 69.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 44.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 35.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 10.8% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

DNMT3L
BHMT
BHMT2
MAT1A
MAT2A
MAT2B
MTAP
MTR
SLC25A26

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 20.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=1.089e-01 U_stat=3.650e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 34.8% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 11.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 36.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 9.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 95.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 90.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=1.000e+00 U_stat=9.785e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 36.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 9.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 95.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 90.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 40.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 14.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 96.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 92.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 95.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 90.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=1.000e+00 U_stat=9.785e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 40.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 14.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 96.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 92.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 40.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 14.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 96.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 92.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 50.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 31.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 40.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 14.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=4.661e-01 U_stat=5.078e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 96.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 92.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 58.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 43.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 40.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 14.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 96.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 92.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 60.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 45.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 50.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 18.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=8.833e-01 U_stat=5.336e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 40.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 14.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 96.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 92.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 60.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 45.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 56.8% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 32.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/4132009676.py:71: UserWarning: The figure layout has changed to tight
  fig.tight_layout()

https://www.proteinatlas.org/SLC3A1-SLC3A1/pathology/renal+cancer/KIRC

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 42.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 19.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 63.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 51.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 63.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 37.8% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

SLC43A2
SLC6A14
SLC7A8
SUOX

In [20]:

save_fig = False
for gene_name in pathway_dict['Protein Modification']:
    # Do the same for old and young
    # And stage
    try:
        #plot_gene_logfcs(gene_name, 'Stage I', 'Stage IV',  x='Tumor Stage')
        plot_gene_logfcs(gene_name, 'Early', 'Late',  x='Stage')
    except:
        print(gene_name)

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 9.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=7.073e-01 U_stat=4.394e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 14.8% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 15.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 46.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 14.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 15.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=3.358e-01 U_stat=1.046e+04

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 55.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 24.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 15.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 58.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 29.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 25.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=4.884e-02 U_stat=8.402e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 15.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 58.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 29.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 38.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 12.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 15.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 58.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 29.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 42.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 13.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 33.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 12.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 15.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=6.184e-03 U_stat=6.620e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 58.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 29.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 42.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 13.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 43.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 14.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 15.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 58.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 29.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 42.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 13.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 45.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 13.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 20.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 15.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=4.164e-01 U_stat=5.765e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 58.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 29.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 42.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 13.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 45.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 13.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 34.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 6.8% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/4132009676.py:71: UserWarning: The figure layout has changed to tight
  fig.tight_layout()
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 20.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

https://www.proteinatlas.org/P4HA1-P4HA1/pathology/renal+cancer/KIRC

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 63.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 33.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 47.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 17.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 49.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 14.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 42.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 16.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 14.8% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=2.766e-02 U_stat=5.080e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 23.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 25.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 45.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 9.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 25.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=1.666e-03 U_stat=1.199e+04

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 56.8% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 20.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 25.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 59.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 25.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 26.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=1.569e-01 U_stat=8.791e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 25.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 59.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 25.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 39.8% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 16.8% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 25.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 59.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 25.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 41.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 17.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 35.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 21.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 25.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=9.945e-05 U_stat=7.132e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 59.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 25.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 41.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 17.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 45.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 25.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 25.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 59.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 25.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 41.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 17.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 48.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 27.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 26.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 5.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=1.931e-01 U_stat=4.821e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 25.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 59.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 25.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 41.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 17.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 48.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 27.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 38.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 10.8% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/4132009676.py:71: UserWarning: The figure layout has changed to tight
  fig.tight_layout()
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 30.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 6.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

https://www.proteinatlas.org/P4HA2-P4HA2/pathology/renal+cancer/KIRC

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 63.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 30.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 48.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 23.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 50.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 29.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 45.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 20.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

P4HB
GGPS1
HMGCR
SLC25A1
SLC33A1
MTMR3

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 22.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=4.738e-01 U_stat=4.522e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 29.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 6.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 31.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 33.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 31.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=1.078e-02 U_stat=1.158e+04

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 43.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 31.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 47.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 5.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 27.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=6.235e-03 U_stat=7.865e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 31.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 47.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 5.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 36.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 12.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 31.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 47.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 5.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 42.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 14.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 34.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 18.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 31.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=1.912e-01 U_stat=5.984e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 47.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 5.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 42.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 14.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 43.8% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 21.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 31.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 47.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 5.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 42.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 14.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 46.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 21.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 22.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=6.290e-01 U_stat=5.618e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 31.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 47.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 5.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 42.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 14.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 46.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 21.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 34.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 5.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/4132009676.py:71: UserWarning: The figure layout has changed to tight
  fig.tight_layout()

https://www.proteinatlas.org/PLOD1-PLOD1/pathology/renal+cancer/KIRC

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 34.8% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 7.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 52.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 8.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 49.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 17.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 52.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 23.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 40.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 9.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 8.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=7.292e-01 U_stat=4.122e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 15.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 19.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 37.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 19.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=6.065e-01 U_stat=9.423e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 50.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 13.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 19.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 52.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 18.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 22.8% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=8.126e-02 U_stat=8.561e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 19.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 52.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 18.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 35.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 9.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 19.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 52.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 18.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 37.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 10.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 34.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 27.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 19.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=5.527e-02 U_stat=4.550e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 52.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 18.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 37.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 10.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 43.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 31.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:121: FutureWarning: Passing `palette` without assigning `hue` is deprecated.
  ax = sns.swarmplot(data=vis_df, x=x, y=y, hue_order=hue_order,
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 19.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 52.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 18.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 37.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 10.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 44.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 31.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 11.0% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 19.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

p-value annotation legend:
ns: 5.00e-02 < p <= 1.00e+00
*: 1.00e-02 < p <= 5.00e-02
**: 1.00e-03 < p <= 1.00e-02
***: 1.00e-04 < p <= 1.00e-03
****: p <= 1.00e-04

Early v.s. Late: Mann-Whitney-Wilcoxon test two-sided with Bonferroni correction, P_val=5.502e-01 U_stat=5.135e+03

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 52.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 18.9% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 37.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 10.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 44.5% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 31.1% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 23.3% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 5.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/sciviso/boxplot.py:161: UserWarning: The figure layout has changed to tight
  plt.tight_layout()
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_27008/4132009676.py:71: UserWarning: The figure layout has changed to tight
  fig.tight_layout()
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 23.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

https://www.proteinatlas.org/PLOD2-PLOD2/pathology/renal+cancer/KIRC

/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 57.8% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 27.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 44.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 13.7% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 48.6% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 32.4% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 30.8% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)
/Users/ariane/opt/miniconda3/envs/roundround/lib/python3.10/site-packages/seaborn/categorical.py:3544: UserWarning: 12.2% of the points cannot be placed; you may want to decrease the size of the markers or use stripplot.
  warnings.warn(msg, UserWarning)

PLOD3

In [ ]:

In [23]:

pathway = pd.read_csv('Required_Refs/GSEA/c2.cp.kegg.v6.2.symbols.csv')

pathway_dict = {}
for p in set(pathway.term.values):
    pathway_dict[p] = list(pathway[pathway.term == p].gene.values)
pathway_dict

Out[23]:

{'KEGG_ADIPOCYTOKINE_SIGNALING_PATHWAY': ['STAT3',
  'CHUK',
  'PTPN11',
  'PPARGC1A',
  'NPY',
  'TNF',
  'SLC2A4',
  'CD36',
  'SLC2A1',
  'MTOR',
  'ADIPOR2',
  'PRKAG2',
  'ACSL6',
  'POMC',
  'MAPK9',
  'MAPK10',
  'PRKCQ',
  'RXRB',
  'RXRG',
  'IKBKB',
  'PRKAG3',
  'RXRA',
  'TNFRSF1B',
  'ADIPOR1',
  'AKT1',
  'AKT2',
  'TNFRSF1A',
  'JAK2',
  'LEPR',
  'AKT3',
  'CPT1B',
  'LEP',
  'ACACB',
  'NFKB1',
  'NFKBIB',
  'NFKBIA',
  'NFKBIE',
  'IKBKG',
  'MAPK8',
  'CPT1A',
  'PCK2',
  'CPT1C',
  'PCK1',
  'RELA',
  'STK11',
  'PPARA',
  'TRAF2',
  'PRKAB2',
  'PRKAB1',
  'PRKAA2',
  'PRKAA1',
  'SOCS3',
  'TRADD',
  'ACSL5',
  'ADIPOQ',
  'G6PC2',
  'IRS2',
  'ACSL1',
  'AGRP',
  'PRKAG1',
  'G6PC',
  'IRS1',
  'CAMKK1',
  'CAMKK2',
  'IRS4',
  'ACSL3',
  'ACSL4'],
 'KEGG_CALCIUM_SIGNALING_PATHWAY': ['CALM2',
  'PTGFR',
  'BST1',
  'PTGER1',
  'F2R',
  'CALM1',
  'PTGER3',
  'ATP2A1',
  'OXTR',
  'PPP3R2',
  'P2RX4',
  'TACR3',
  'P2RX5',
  'PPP3CC',
  'ADRB3',
  'ATP2A3',
  'P2RX1',
  'PPP3R1',
  'ADRB2',
  'ATP2A2',
  'P2RX3',
  'ADRB1',
  'TACR1',
  'TACR2',
  'SPHK1',
  'CCKAR',
  'CCKBR',
  'NTSR1',
  'PDGFRB',
  'LOC729317',
  'SLC8A1',
  'ITPR3',
  'SLC8A3',
  'PLCD3',
  'EDNRA',
  'P2RX7',
  'CHP2',
  'DRD1',
  'DRD5',
  'TRHR',
  'EDNRB',
  'PHKB',
  'PHKA2',
  'PHKA1',
  'GNA15',
  'GNA11',
  'VDAC1',
  'VDAC2',
  'CHRM1',
  'VDAC3',
  'CHRM2',
  'PRKX',
  'PLN',
  'BDKRB1',
  'MYLK',
  'PLCE1',
  'CHRM3',
  'ADCY3',
  'CALML5',
  'LTB4R2',
  'ADCY2',
  'ADCY1',
  'BDKRB2',
  'PDE1C',
  'CYSLTR1',
  'GNA14',
  'PDE1B',
  'CAMK4',
  'CAMK2A',
  'CAMK2B',
  'PDGFRA',
  'CAMK2D',
  'CAMK2G',
  'PRKACA',
  'PRKACB',
  'GNAQ',
  'SLC25A6',
  'PRKACG',
  'GNAS',
  'SLC25A5',
  'CALML3',
  'SLC25A4',
  'GNAL',
  'ATP2B2',
  'ATP2B3',
  'ATP2B4',
  'PLCG1',
  'PLCG2',
  'PLCZ1',
  'AGTR1',
  'ATP2B1',
  'CALM3',
  'PTK2B',
  'TRPC1',
  'SLC25A31',
  'PLCB2',
  'GRM5',
  'ADCY8',
  'RYR1',
  'PLCB1',
  'ADCY9',
  'PLCD1',
  'PRKCB',
  'ADCY7',
  'PRKCA',
  'PLCB3',
  'PLCB4',
  'TNNC2',
  'RYR2',
  'RYR3',
  'GRM1',
  'PPID',
  'PHKG1',
  'PHKG2',
  'PRKCG',
  'PDE1A',
  'ERBB4',
  'CACNA1A',
  'GRIN1',
  'GRIN2A',
  'ERBB2',
  'ERBB3',
  'CHRNA7',
  'NOS3',
  'CACNA1D',
  'GRIN2C',
  'CACNA1E',
  'GRIN2D',
  'CHRM5',
  'CACNA1B',
  'NOS2',
  'CACNA1C',
  'NOS1',
  'MYLK2',
  'CACNA1F',
  'CACNA1S',
  'ADCY4',
  'TNNC1',
  'PLCD4',
  'P2RX2',
  'ITPKA',
  'ADORA2A',
  'ITPKB',
  'EGFR',
  'ADORA2B',
  'ITPR1',
  'ITPR2',
  'HTR4',
  'SPHK2',
  'HTR5A',
  'HTR6',
  'HTR7',
  'HTR2A',
  'HTR2C',
  'HTR2B',
  'P2RX6',
  'SLC8A2',
  'AVPR1A',
  'AVPR1B',
  'HRH2',
  'ADRA1D',
  'ADRA1B',
  'ADRA1A',
  'GRPR',
  'CD38',
  'PPP3CB',
  'PTAFR',
  'PPP3CA',
  'CACNA1H',
  'CACNA1G',
  'CACNA1I',
  'CYSLTR2',
  'LHCGR',
  'TBXA2R',
  'MYLK3',
  'HRH1',
  'CHP',
  'CALML6'],
 'KEGG_PRIMARY_IMMUNODEFICIENCY': ['ZAP70',
  'CD4',
  'TNFRSF13C',
  'IKBKG',
  'IL2RG',
  'RFXAP',
  'TAP2',
  'RFX5',
  'CD8A',
  'CD8B',
  'TAP1',
  'ICOS',
  'UNG',
  'IL7R',
  'ADA',
  'CD40LG',
  'CD40',
  'AICDA',
  'BTK',
  'BLNK',
  'CD19',
  'RAG2',
  'RAG1',
  'CD3D',
  'CD3E',
  'RFXANK',
  'AIRE',
  'CD79A',
  'TNFRSF13B',
  'JAK3',
  'IGLL1',
  'CIITA',
  'LCK',
  'PTPRC',
  'DCLRE1C'],
 'KEGG_LINOLEIC_ACID_METABOLISM': ['CYP2E1',
  'CYP3A5',
  'CYP2J2',
  'CYP3A4',
  'PLA2G3',
  'AKR1B10',
  'CYP2C18',
  'CYP1A2',
  'ALOX15',
  'PLA2G4E',
  'JMJD7-PLA2G4B',
  'PLA2G6',
  'PLA2G2E',
  'PLA2G10',
  'PLA2G2A',
  'PLA2G4A',
  'CYP3A43',
  'PLA2G5',
  'PLA2G12B',
  'PLA2G4B',
  'PLA2G2F',
  'PLA2G2C',
  'PLA2G2D',
  'CYP2C9',
  'PLA2G12A',
  'CYP2C19',
  'CYP2C8',
  'CYP3A7',
  'PLA2G1B'],
 'KEGG_TYPE_II_DIABETES_MELLITUS': ['PIK3R5',
  'GCK',
  'MAPK8',
  'TNF',
  'MAFA',
  'SOCS1',
  'SLC2A4',
  'SLC2A2',
  'MTOR',
  'SOCS2',
  'SOCS3',
  'INS',
  'PRKCD',
  'PRKCE',
  'MAPK9',
  'HK2',
  'CACNA1A',
  'MAPK10',
  'HK3',
  'HK1',
  'PIK3R3',
  'CACNA1D',
  'CACNA1E',
  'CACNA1B',
  'PDX1',
  'CACNA1C',
  'ADIPOQ',
  'IKBKB',
  'IRS2',
  'ABCC8',
  'SOCS4',
  'PIK3CA',
  'CACNA1G',
  'PIK3CB',
  'PIK3CD',
  'PRKCZ',
  'KCNJ11',
  'MAPK3',
  'IRS1',
  'PKLR',
  'INSR',
  'PKM2',
  'PIK3CG',
  'IRS4',
  'PIK3R1',
  'PIK3R2',
  'MAPK1'],
 'KEGG_CELL_ADHESION_MOLECULES_CAMS': ['CDH5',
  'JAM3',
  'CDH3',
  'NLGN3',
  'CDH4',
  'CD80',
  'NLGN1',
  'CD86',
  'CD28',
  'CD274',
  'PDCD1LG2',
  'ITGA9',
  'ITGAL',
  'NRCAM',
  'ITGAM',
  'CD34',
  'CD276',
  'ICOSLG',
  'CADM3',
  'ITGA4',
  'ICOS',
  'SIGLEC1',
  'CADM1',
  'HLA-G',
  'CLDN20',
  'PECAM1',
  'CD22',
  'ITGB7',
  'SELL',
  'VCAM1',
  'ITGAV',
  'SELP',
  'SPN',
  'ITGB1',
  'SELPLG',
  'ITGB2',
  'CDH2',
  'JAM2',
  'CTLA4',
  'HLA-DRB4',
  'CLDN18',
  'CD4',
  'HLA-DRB5',
  'CNTN1',
  'NLGN2',
  'HLA-DRB3',
  'NRXN3',
  'ALCAM',
  'SELE',
  'CD8A',
  'CD8B',
  'CD6',
  'CLDN17',
  'L1CAM',
  'ITGB8',
  'MAG',
  'VCAN',
  'HLA-F',
  'NFASC',
  'HLA-E',
  'NRXN1',
  'HLA-DPA1',
  'HLA-DPB1',
  'HLA-DQA1',
  'HLA-DQA2',
  'HLA-DQB1',
  'NRXN2',
  'CD2',
  'CLDN16',
  'CLDN23',
  'MADCAM1',
  'SDC2',
  'SDC4',
  'SDC1',
  'OCLN',
  'PVR',
  'HLA-DRB1',
  'PVRL2',
  'CDH1',
  'HLA-DRA',
  'PVRL1',
  'HLA-DOA',
  'HLA-DOB',
  'CLDN10',
  'ICAM2',
  'ICAM3',
  'CLDN8',
  'CLDN2',
  'CLDN6',
  'CLDN5',
  'CLDN1',
  'ICAM1',
  'NEO1',
  'HLA-C',
  'HLA-B',
  'ESAM',
  'HLA-DMB',
  'HLA-DMA',
  'HLA-A',
  'F11R',
  'PDCD1',
  'CLDN19',
  'PTPRF',
  'CLDN15',
  'CD226',
  'CD99',
  'CLDN22',
  'CNTNAP2',
  'MPZ',
  'MPZL1',
  'PTPRC',
  'PVRL3',
  'ITGA8',
  'NCAM2',
  'NCAM1',
  'CD58',
  'NEGR1',
  'CLDN11',
  'LOC652614',
  'SDC3',
  'CLDN7',
  'CLDN4',
  'PTPRM',
  'CLDN3',
  'ITGA6',
  'CNTN2',
  'CD40LG',
  'CNTNAP1',
  'CD40',
  'GLG1',
  'CDH15',
  'CLDN14',
  'NLGN4X',
  'CLDN9'],
 'KEGG_AXON_GUIDANCE': ['UNC5B',
  'PLXNB2',
  'PPP3R2',
  'PPP3CC',
  'PPP3R1',
  'PAK4',
  'NGEF',
  'SEMA4C',
  'SEMA4A',
  'PLXNC1',
  'ROCK1',
  'ABLIM3',
  'PTK2',
  'ROBO1',
  'SLIT2',
  'ROBO2',
  'PLXNA1',
  'ABL1',
  'PLXNA2',
  'PLXNB3',
  'PLXNB1',
  'SEMA3G',
  'ITGB1',
  'SEMA3F',
  'NRAS',
  'ROBO3',
  'CHP2',
  'NFAT5',
  'SEMA6D',
  'RHOD',
  'PAK6',
  'PLXNA3',
  'NCK1',
  'NFATC4',
  'NTNG1',
  'SEMA6A',
  'NFATC3',
  'KRAS',
  'SRGAP3',
  'L1CAM',
  'CFL2',
  'CFL1',
  'GNAI1',
  'UNC5A',
  'GNAI2',
  'RND1',
  'NCK2',
  'MET',
  'SLIT1',
  'SLIT3',
  'PAK7',
  'NTN1',
  'PAK1',
  'LRRC4C',
  'SEMA3C',
  'GNAI3',
  'CXCL12',
  'SEMA5A',
  'NFATC2',
  'NFATC1',
  'DCC',
  'CDC42',
  'UNC5D',
  'SRGAP2',
  'SEMA6C',
  'SEMA6B',
  'PAK3',
  'SEMA3D',
  'EPHB4',
  'EPHB6',
  'SEMA4D',
  'SEMA4B',
  'PAK2',
  'SEMA4F',
  'RHOA',
  'CXCR4',
  'EPHB1',
  'EPHA8',
  'EPHB3',
  'EPHB2',
  'EFNA4',
  'EFNA3',
  'RAC2',
  'EFNB1',
  'EFNA5',
  'EFNB3',
  'RAC3',
  'EFNB2',
  'ARHGEF12',
  'ABLIM2',
  'SRGAP1',
  'EFNA2',
  'RASA1',
  'EFNA1',
  'DPYSL5',
  'SEMA3A',
  'UNC5C',
  'NRP1',
  'MAPK3',
  'RAC1',
  'MAPK1',
  'SEMA5B',
  'HRAS',
  'SEMA3B',
  'GSK3B',
  'SEMA3E',
  'DPYSL2',
  'LIMK2',
  'LIMK1',
  'ABLIM1',
  'ROCK2',
  'SEMA7A',
  'EPHA1',
  'NTN4',
  'EPHA5',
  'EPHA7',
  'EPHA3',
  'EPHA2',
  'EPHA4',
  'SEMA4G',
  'PPP3CB',
  'FES',
  'PPP3CA',
  'CDK5',
  'RGS3',
  'FYN',
  'EPHA6',
  'NTN3',
  'CHP'],
 'KEGG_ASTHMA': ['HLA-DRB4',
  'HLA-DRB5',
  'HLA-DOA',
  'HLA-DOB',
  'HLA-DRB3',
  'IL3',
  'TNF',
  'CCL11',
  'EPX',
  'FCER1G',
  'MS4A2',
  'HLA-DMB',
  'FCER1A',
  'HLA-DMA',
  'IL9',
  'CD40LG',
  'HLA-DPA1',
  'CD40',
  'HLA-DPB1',
  'IL13',
  'HLA-DQA1',
  'HLA-DQA2',
  'HLA-DQB1',
  'PRG2',
  'RNASE3',
  'IL4',
  'IL5',
  'IL10',
  'HLA-DRB1',
  'HLA-DRA'],
 'KEGG_GLYCOSAMINOGLYCAN_BIOSYNTHESIS_KERATAN_SULFATE': ['CHST2',
  'B3GNT1',
  'B3GNT2',
  'CHST1',
  'B4GALT1',
  'B3GNT7',
  'ST3GAL2',
  'B4GALT3',
  'ST3GAL1',
  'B4GALT2',
  'B4GALT4',
  'CHST4',
  'ST3GAL3',
  'FUT8',
  'CHST6'],
 'KEGG_PURINE_METABOLISM': ['POLR2G',
  'NT5C2',
  'POLR2H',
  'ENPP3',
  'POLR2E',
  'POLR2F',
  'ENPP1',
  'XDH',
  'POLR2I',
  'POLR2J',
  'POLE3',
  'ADSS',
  'PRPS2',
  'ADSL',
  'NME6',
  'POLR1D',
  'PNPT1',
  'POLR2K',
  'PDE11A',
  'POLD3',
  'POLR2L',
  'AK1',
  'NME1-NME2',
  'AK2',
  'AK4',
  'POLA2',
  'CANT1',
  'AMPD1',
  'AMPD3',
  'AMPD2',
  'NME4',
  'GUCY2D',
  'NME1',
  'ATIC',
  'NME2',
  'DGUOK',
  'POLR3C',
  'NME3',
  'POLR3G',
  'POLR3F',
  'PRUNE',
  'C17orf48',
  'PDE4B',
  'PDE4C',
  'PDE3B',
  'PDE4A',
  'NUDT2',
  'GMPR2',
  'PDE6C',
  'PDE6D',
  'PDE4D',
  'PDE6A',
  'PRIM1',
  'PRIM2',
  'AK5',
  'GMPR',
  'NME5',
  'PDE7B',
  'PDE5A',
  'POLD4',
  'GUCY1A2',
  'FHIT',
  'ADCY3',
  'ADCY2',
  'ADCY1',
  'POLA1',
  'PDE3A',
  'PDE2A',
  'PDE1C',
  'ADSSL1',
  'ADA',
  'ENTPD8',
  'POLE2',
  'PDE8A',
  'PDE9A',
  'PDE1B',
  'NUDT9',
  'POLD1',
  'GDA',
  'POLD2',
  'POLE',
  'PDE6B',
  'PDE7A',
  'PRPS1',
  'POLR1E',
  'PAICS',
  'NT5C1A',
  'POLR2B',
  'POLR3A',
  'PDE6H',
  'POLR2A',
  'PDE6G',
  'POLR2D',
  'DCK',
  'POLR2C',
  'ADCY8',
  'ADCY9',
  'ADCY6',
  'AK7',
  'ADCY7',
  'ADCY5',
  'GMPS',
  'ADCY10',
  'POLR3K',
  'POLR1B',
  'PNP',
  'RRM2B',
  'PDE1A',
  'POLR2J2',
  'HPRT1',
  'GART',
  'PAPSS1',
  'PAPSS2',
  'NT5M',
  'ADCY4',
  'IMPDH1',
  'IMPDH2',
  'POLR3H',
  'POLR2J3',
  'POLR1A',
  'POLR3B',
  'GUCY1B3',
  'PKLR',
  'GUCY2C',
  'ENTPD4',
  'PKM2',
  'GUCY1A3',
  'GUK1',
  'GUCY2F',
  'ADK',
  'ITPA',
  'POLR1C',
  'PRHOXNB',
  'POLE4',
  'RRM1',
  'POLR3D',
  'RRM2',
  'NT5C3',
  'PDE8B',
  'POLR3GL',
  'NT5E',
  'NPR2',
  'NPR1',
  'PDE10A',
  'ENTPD6',
  'ENTPD2',
  'ENTPD5',
  'ENTPD3',
  'NUDT5',
  'ENTPD1',
  'PFAS',
  'NT5C1B',
  'APRT',
  'PRPS1L1',
  'PPAT',
  'NME7',
  'NT5C',
  'ALLC',
  'ZNRD1'],
 'KEGG_PRION_DISEASES': ['NCAM2',
  'EGR1',
  'NCAM1',
  'ELK1',
  'NOTCH1',
  'PRKX',
  'C6',
  'CCL5',
  'C5',
  'IL1B',
  'SOD1',
  'STIP1',
  'MAP2K2',
  'HSPA1A',
  'MAP2K1',
  'BAX',
  'PRKACA',
  'PRKACB',
  'PRKACG',
  'IL1A',
  'HSPA5',
  'PRNP',
  'C9',
  'C1QB',
  'C1QA',
  'LAMC1',
  'C1QC',
  'MAPK3',
  'FYN',
  'C8A',
  'C7',
  'IL6',
  'C8G',
  'C8B',
  'MAPK1'],
 'KEGG_COMPLEMENT_AND_COAGULATION_CASCADES': ['F2',
  'F2R',
  'VWF',
  'KNG1',
  'FGB',
  'PLAT',
  'SERPIND1',
  'MBL2',
  'F3',
  'F5',
  'SERPINA1',
  'PLAUR',
  'F7',
  'PLAU',
  'F10',
  'F9',
  'TFPI',
  'F8',
  'KLKB1',
  'CR2',
  'MASP1',
  'C9',
  'A2M',
  'CR1',
  'F12',
  'F13A1',
  'F11',
  'C8A',
  'F13B',
  'C7',
  'C8G',
  'C8B',
  'CD59',
  'SERPINA5',
  'FGG',
  'CD55',
  'C6',
  'C5AR1',
  'C5',
  'BDKRB1',
  'C4BPB',
  'C4BPA',
  'C4B',
  'C4A',
  'BDKRB2',
  'CFH',
  'CFB',
  'CPB2',
  'CD46',
  'PROS1',
  'SERPINF2',
  'PROC',
  'FGA',
  'SERPINE1',
  'PLG',
  'C2',
  'SERPINC1',
  'C1S',
  'C3AR1',
  'C3',
  'C1QB',
  'CFD',
  'C1QA',
  'C1R',
  'C1QC',
  'CFI',
  'SERPING1',
  'MASP2',
  'THBD'],
 'KEGG_NON_SMALL_CELL_LUNG_CANCER': ['CASP9',
  'SOS2',
  'E2F1',
  'PRKCB',
  'RAF1',
  'PRKCA',
  'RARB',
  'BAD',
  'PRKCG',
  'ERBB2',
  'MAP2K2',
  'TGFA',
  'BRAF',
  'MAP2K1',
  'RXRB',
  'PDPK1',
  'RXRG',
  'RB1',
  'RXRA',
  'RASSF1',
  'AKT1',
  'AKT2',
  'NRAS',
  'AKT3',
  'GRB2',
  'MAPK3',
  'SOS1',
  'MAPK1',
  'PIK3R5',
  'HRAS',
  'EGFR',
  'KRAS',
  'CDKN2A',
  'EGF',
  'RASSF5',
  'FHIT',
  'STK4',
  'ARAF',
  'CCND1',
  'PIK3R3',
  'FOXO3',
  'CDK4',
  'TP53',
  'E2F3',
  'E2F2',
  'PIK3CA',
  'PIK3CB',
  'CDK6',
  'PIK3CD',
  'PLCG1',
  'PLCG2',
  'PIK3CG',
  'PIK3R1',
  'PIK3R2'],
 'KEGG_PROSTATE_CANCER': ['CASP9',
  'SOS2',
  'E2F1',
  'CHUK',
  'RAF1',
  'IGF1',
  'CREB3L4',
  'MTOR',
  'CREB3L1',
  'PDGFD',
  'NKX3-1',
  'IGF1R',
  'GSTP1',
  'CREB3',
  'CREBBP',
  'LEF1',
  'BAD',
  'INS',
  'PDGFRB',
  'ERBB2',
  'MAP2K2',
  'TGFA',
  'BRAF',
  'MAP2K1',
  'FGFR2',
  'PDPK1',
  'IKBKB',
  'MDM2',
  'RB1',
  'CREB1',
  'AKT1',
  'AKT2',
  'FGFR1',
  'AKT3',
  'NRAS',
  'GRB2',
  'CREB5',
  'MAPK3',
  'TCF7',
  'NFKB1',
  'INSRR',
  'NFKBIA',
  'SOS1',
  'TCF7L2',
  'MAPK1',
  'PIK3R5',
  'IKBKG',
  'HRAS',
  'EP300',
  'EGFR',
  'RELA',
  'PDGFC',
  'GSK3B',
  'KRAS',
  'CDKN1B',
  'EGF',
  'CDKN1A',
  'CTNNB1',
  'HSP90AA1',
  'ARAF',
  'AR',
  'CREB3L3',
  'HSP90B1',
  'SRD5A2',
  'CREB3L2',
  'CCND1',
  'PTEN',
  'PIK3R3',
  'BCL2',
  'PDGFA',
  'PDGFB',
  'TCF7L1',
  'FOXO1',
  'PDGFRA',
  'CDK2',
  'HSP90AB1',
  'TP53',
  'E2F3',
  'E2F2',
  'PIK3CA',
  'PIK3CB',
  'CCNE2',
  'PIK3CD',
  'KLK3',
  'ATF4',
  'PIK3CG',
  'CCNE1',
  'PIK3R1',
  'PIK3R2'],
 'KEGG_INTESTINAL_IMMUNE_NETWORK_FOR_IGA_PRODUCTION': ['HLA-DRB4',
  'TNFRSF13C',
  'HLA-DRB5',
  'HLA-DOA',
  'HLA-DOB',
  'HLA-DRB3',
  'CD80',
  'CD86',
  'CD28',
  'TNFSF13',
  'TNFSF13B',
  'CCL27',
  'IL15RA',
  'IL15',
  'ICOSLG',
  'ITGA4',
  'TGFB1',
  'ICOS',
  'CCR9',
  'MAP3K14',
  'CXCR4',
  'CCL25',
  'TNFRSF17',
  'HLA-DMB',
  'HLA-DMA',
  'CCL28',
  'LTBR',
  'PIGR',
  'IL2',
  'CD40LG',
  'HLA-DPA1',
  'CD40',
  'AICDA',
  'HLA-DPB1',
  'HLA-DQA1',
  'HLA-DQA2',
  'HLA-DQB1',
  'TNFRSF13B',
  'ITGB7',
  'CXCL12',
  'CCR10',
  'MADCAM1',
  'IL4',
  'IL5',
  'IL10',
  'IL6',
  'HLA-DRB1',
  'HLA-DRA'],
 'KEGG_PENTOSE_AND_GLUCURONATE_INTERCONVERSIONS': ['UGT1A10',
  'UGT1A8',
  'RPE',
  'UGT1A7',
  'UGT1A6',
  'UGT2B28',
  'UGT1A5',
  'CRYL1',
  'UGDH',
  'UGT2A1',
  'GUSB',
  'UGT1A9',
  'DCXR',
  'LOC729020',
  'DHDH',
  'UGT2B11',
  'UGP2',
  'XYLB',
  'UGT2B10',
  'AKR1B1',
  'UGT2B7',
  'UGT2B4',
  'UGT2A3',
  'UGT1A4',
  'UGT2B17',
  'UGT1A1',
  'UGT1A3',
  'UGT2B15'],
 'KEGG_PRIMARY_BILE_ACID_BIOSYNTHESIS': ['CYP46A1',
  'SLC27A5',
  'BAAT',
  'CYP7B1',
  'AKR1C4',
  'HSD17B4',
  'SCP2',
  'AKR1D1',
  'ACOX2',
  'HSD3B7',
  'CYP27A1',
  'AMACR',
  'CYP7A1',
  'CYP8B1',
  'CYP39A1',
  'CH25H'],
 'KEGG_GLYCOSPHINGOLIPID_BIOSYNTHESIS_GLOBO_SERIES': ['A4GALT',
  'B3GALT5',
  'GLA',
  'FUT9',
  'ST3GAL2',
  'GBGT1',
  'ST3GAL1',
  'FUT2',
  'FUT1',
  'HEXB',
  'NAGA',
  'ST8SIA1',
  'B3GALNT1',
  'HEXA'],
 'KEGG_DORSO_VENTRAL_AXIS_FORMATION': ['SOS2',
  'NOTCH4',
  'NOTCH3',
  'NOTCH2',
  'EGFR',
  'NOTCH1',
  'KRAS',
  'FMN2',
  'LOC652554',
  'ETV7',
  'PIWIL3',
  'ETV6',
  'PIWIL2',
  'MAP2K1',
  'PIWIL1',
  'GRB2',
  'SPIRE2',
  'CPEB1',
  'MAPK3',
  'ETS1',
  'ETS2',
  'SPIRE1',
  'SOS1',
  'PIWIL4',
  'MAPK1'],
 'KEGG_INOSITOL_PHOSPHATE_METABOLISM': ['PLCB2',
  'PLCB1',
  'INPP1',
  'IPMK',
  'PLCD1',
  'PLCB3',
  'PLCB4',
  'MIOX',
  'TPI1',
  'INPP5A',
  'INPP5B',
  'INPP4A',
  'INPPL1',
  'SYNJ2',
  'PIP4K2B',
  'PLCD3',
  'PIKFYVE',
  'IMPA1',
  'IMPA2',
  'PIP5K1A',
  'PIP5K1B',
  'ISYNA1',
  'INPP5J',
  'INPP5K',
  'SYNJ1',
  'PLCD4',
  'ITPKA',
  'ITPKB',
  'ITPK1',
  'CDIPT',
  'INPP4B',
  'PLCE1',
  'ALDH6A1',
  'PIP5K1C',
  'PIK3C3',
  'PIK3C2B',
  'PIK3C2G',
  'PIP4K2A',
  'PIK3C2A',
  'PTEN',
  'PIP4K2C',
  'MINPP1',
  'IPPK',
  'PIK3CA',
  'PIK3CB',
  'PIK3CD',
  'PLCG1',
  'PLCG2',
  'PLCZ1',
  'PI4KB',
  'PIK3CG',
  'INPP5E',
  'OCRL',
  'PI4KA'],
 'KEGG_NOD_LIKE_RECEPTOR_SIGNALING_PATHWAY': ['TRIP6',
  'CASP8',
  'CHUK',
  'TAB3',
  'CXCL1',
  'RIPK2',
  'TNF',
  'BIRC3',
  'CCL2',
  'XIAP',
  'CCL5',
  'NOD1',
  'CARD6',
  'CCL13',
  'CCL11',
  'CCL8',
  'CARD8',
  'CCL7',
  'MEFV',
  'IL8',
  'MAPK9',
  'MAPK10',
  'MAPK11',
  'ERBB2IP',
  'MAPK13',
  'CASP5',
  'IKBKB',
  'NOD2',
  'MAP3K7',
  'CASP1',
  'CARD18',
  'TNFAIP3',
  'SUGT1',
  'MAPK3',
  'PSTPIP1',
  'NFKB1',
  'NFKBIB',
  'NFKBIA',
  'MAPK1',
  'IKBKG',
  'CARD9',
  'MAPK8',
  'MAPK14',
  'MAPK12',
  'IL18',
  'RELA',
  'PYDC1',
  'TRAF6',
  'HSP90AA1',
  'PYCARD',
  'TAB2',
  'NLRC4',
  'IL1B',
  'HSP90B1',
  'NLRP3',
  'NLRP1',
  'NAIP',
  'BIRC2',
  'CXCL2',
  'HSP90AB1',
  'TAB1',
  'IL6'],
 'KEGG_HEDGEHOG_SIGNALING_PATHWAY': ['CSNK1A1L',
  'HHIP',
  'PTCH2',
  'GAS1',
  'WNT3A',
  'ZIC2',
  'WNT9B',
  'WNT9A',
  'LRP2',
  'CSNK1G1',
  'WNT2B',
  'WNT11',
  'WNT10B',
  'IHH',
  'SMO',
  'WNT10A',
  'WNT4',
  'CSNK1G3',
  'SHH',
  'WNT1',
  'CSNK1D',
  'RAB23',
  'CSNK1A1',
  'CSNK1G2',
  'CSNK1E',
  'BMP8A',
  'GSK3B',
  'WNT7A',
  'BTRC',
  'WNT7B',
  'WNT8A',
  'WNT8B',
  'WNT2',
  'WNT3',
  'PRKX',
  'WNT5A',
  'WNT6',
  'FBXW11',
  'STK36',
  'WNT5B',
  'GLI1',
  'DHH',
  'PRKACA',
  'PRKACB',
  'SUFU',
  'BMP4',
  'PRKACG',
  'BMP2',
  'GLI2',
  'BMP7',
  'GLI3',
  'PTCH1',
  'BMP8B',
  'WNT16',
  'BMP5',
  'BMP6'],
 'KEGG_N_GLYCAN_BIOSYNTHESIS': ['ALG13',
  'DOLPP1',
  'RPN1',
  'ALG14',
  'MAN1B1',
  'ALG3',
  'B4GALT1',
  'MGAT5',
  'RPN2',
  'STT3A',
  'MGAT3',
  'DAD1',
  'MGAT2',
  'ALG12',
  'TUSC3',
  'MAN1C1',
  'DPM2',
  'DPM1',
  'GANAB',
  'ALG1',
  'MGAT4A',
  'ALG10B',
  'STT3B',
  'MAN1A2',
  'ALG10',
  'ALG11',
  'ALG8',
  'ALG2',
  'DPAGT1',
  'RFT1',
  'DPM3',
  'DDOST',
  'MGAT4B',
  'ALG6',
  'MAN2A2',
  'MAN1A1',
  'MAN2A1',
  'ST6GAL1',
  'B4GALT3',
  'ALG5',
  'B4GALT2',
  'MGAT5B',
  'ALG9',
  'MOGS',
  'FUT8',
  'MGAT1'],
 'KEGG_NUCLEOTIDE_EXCISION_REPAIR': ['MNAT1',
  'POLE4',
  'ERCC4',
  'POLE3',
  'ERCC3',
  'ERCC6',
  'ERCC5',
  'GTF2H5',
  'POLD4',
  'ERCC2',
  'RFC4',
  'CETN2',
  'RFC5',
  'RPA1',
  'RAD23B',
  'RBX1',
  'DDB2',
  'RPA3',
  'POLD3',
  'RPA2',
  'RAD23A',
  'PCNA',
  'RPA4',
  'DDB1',
  'POLE2',
  'ERCC1',
  'POLD1',
  'POLD2',
  'POLE',
  'RFC1',
  'RFC3',
  'RFC2',
  'XPC',
  'XPA',
  'GTF2H2',
  'GTF2H1',
  'CDK7',
  'LIG1',
  'CUL4A',
  'CUL4B',
  'ERCC8',
  'CCNH',
  'GTF2H4',
  'GTF2H3'],
 'KEGG_REGULATION_OF_ACTIN_CYTOSKELETON': ['LOC100418883',
  'BRK1',
  'FN1',
  'ENAH',
  'DIAPH1',
  'SSH2',
  'RRAS2',
  'ITGA11',
  'ROCK1',
  'PTK2',
  'MYL7',
  'ARHGEF7',
  'ARPC4',
  'CD14',
  'FGD3',
  'ARPC5',
  'MYL12A',
  'NRAS',
  'ARPC1B',
  'ARPC3',
  'TIAM1',
  'SCIN',
  'PAK6',
  'PFN1',
  'PFN2',
  'PIK3R5',
  'IQGAP3',
  'KRAS',
  'CFL2',
  'CFL1',
  'MYL2',
  'MYLK',
  'BDKRB1',
  'MYL5',
  'PIP5K1C',
  'BDKRB2',
  'CSK',
  'MYL10',
  'APC',
  'PIP4K2C',
  'MYH9',
  'ARPC5L',
  'MYH10',
  'ARHGEF4',
  'FGF9',
  'FGF8',
  'FGF7',
  'FGF6',
  'FGF5',
  'WAS',
  'PDGFD',
  'FGF3',
  'FGF4',
  'FGF1',
  'FGF2',
  'FGD1',
  'PPP1R12A',
  'FGF21',
  'ACTN4',
  'ACTN1',
  'MAP2K2',
  'LOC646821',
  'MAP2K1',
  'ARHGEF12',
  'FGFR2',
  'FGFR4',
  'FGFR3',
  'FGFR1',
  'FGF14',
  'FGF17',
  'FGF16',
  'FGF10',
  'FGF11',
  'IQGAP1',
  'FGF12',
  'PPP1CC',
  'FGF13',
  'PPP1CB',
  'ACTG1',
  'ITGA10',
  'HRAS',
  'ITGA8',
  'PFN3',
  'FGF23',
  'LIMK2',
  'LIMK1',
  'FGF18',
  'MYL12B',
  'PIP4K2A',
  'ACTB',
  'LOC653888',
  'ROCK2',
  'MOS',
  'PIK3R3',
  'TMSB4Y',
  'GIT1',
  'MSN',
  'ARPC1A',
  'BAIAP2',
  'IQGAP2',
  'NCKAP1',
  'VAV3',
  'ABI2',
  'F2',
  'F2R',
  'ARHGEF6',
  'ITGA9',
  'ITGAL',
  'ITGAM',
  'ITGAD',
  'ITGAE',
  'PAK4',
  'ITGA4',
  'ITGA3',
  'ITGA2B',
  'APC2',
  'ITGA7',
  'ITGA5',
  'MYH14',
  'PDGFRB',
  'PIP4K2B',
  'WASF2',
  'BRAF',
  'SLC9A1',
  'DIAPH3',
  'VAV1',
  'WASF1',
  'ITGB3',
  'PIKFYVE',
  'ITGB4',
  'ITGB5',
  'DOCK1',
  'ITGB6',
  'PIP5K1A',
  'ITGB7',
  'PIP5K1B',
  'ITGAV',
  'ITGB1',
  'ITGAX',
  'VAV2',
  'ITGB2',
  'FGF20',
  'PFN4',
  'GNA12',
  'PDGFC',
  'VCL',
  'GNA13',
  'CHRM1',
  'CHRM2',
  'CYFIP1',
  'CHRM4',
  'CHRM3',
  'ITGB8',
  'RDX',
  'PXN',
  'CYFIP2',
  'PAK7',
  'PDGFA',
  'FGF22',
  'PDGFB',
  'PDGFRA',
  'TMSB4X',
  'BCAR1',
  'PAK1',
  'CRK',
  'EZR',
  'CRKL',
  'CDC42',
  'ACTN2',
  'ACTN3',
  'SOS2',
  'PAK3',
  'RAF1',
  'PAK2',
  'MYL9',
  'RHOA',
  'TMSL3',
  'INS',
  'MYLPF',
  'RAC2',
  'WASL',
  'CHRM5',
  'RAC3',
  'MYLK2',
  'SSH3',
  'PPP1CA',
  'MAPK3',
  'ARHGAP35',
  'INSRR',
  'ARPC2',
  'FGF19',
  'RAC1',
  'SOS1',
  'MAPK1',
  'GSN',
  'EGFR',
  'EGF',
  'SSH1',
  'NCKAP1L',
  'RRAS',
  'ARAF',
  'GNG12',
  'MRAS',
  'ITGA6',
  'DIAPH2',
  'ITGA2',
  'ITGA1',
  'TIAM2',
  'PIK3CA',
  'PIK3CB',
  'PIK3CD',
  'ARHGEF1',
  'MYLK3',
  'PIK3CG',
  'PIK3R1',
  'PIK3R2'],
 'KEGG_LYSOSOME': ['PLA2G15',
  'AP3B2',
  'GGA1',
  'SLC11A1',
  'PPT1',
  'MFSD8',
  'CTSZ',
  'NAGPA',
  'IGF2R',
  'ARSG',
  'ATP6V0A1',
  'CTSW',
  'ATP6V0B',
  'LGMN',
  'CTSS',
  'AP4S1',
  'LAMP2',
  'ATP6AP1',
  'LAPTM5',
  'AP1S3',
  'CLTCL1',
  'AP4B1',
  'AP3B1',
  'LAMP3',
  'ATP6V0A4',
  'CTSL1',
  'ABCB9',
  'AP1B1',
  'CTSK',
  'SLC11A2',
  'GNPTAB',
  'SMPD1',
  'CTSH',
  'AP1G1',
  'CTSG',
  'CTSE',
  'LAPTM4A',
  'GM2A',
  'LAMP1',
  'CTSO',
  'GGA2',
  'CTSL2',
  'AP3M1',
  'CTSC',
  'GBA',
  'AP3D1',
  'CD164',
  'ATP6V1H',
  'HGSNAT',
  'ABCA2',
  'DNASE2B',
  'AGA',
  'AP3M2',
  'ATP6V0D2',
  'ARSA',
  'CTSD',
  'CTSB',
  'ARSB',
  'TCIRG1',
  'GNS',
  'PPT2',
  'DNASE2',
  'SORT1',
  'ASAH1',
  'AP4E1',
  'GALNS',
  'AP4M1',
  'PSAPL1',
  'IDUA',
  'IDS',
  'ATP6V0C',
  'GALC',
  'GNPTG',
  'NEU1',
  'M6PR',
  'GUSB',
  'AP3S2',
  'GLA',
  'GGA3',
  'ATP6V0A2',
  'FUCA1',
  'NPC2',
  'ATP6V0D1',
  'ENTPD4',
  'SGSH',
  'AP1M2',
  'CD68',
  'CD63',
  'GLB1',
  'CTSF',
  'MANBA',
  'MAN2B1',
  'PSAP',
  'CTNS',
  'LIPA',
  'AP1S2',
  'AP1M1',
  'LAPTM4B',
  'NAPSA',
  'HEXB',
  'AP3S1',
  'SUMF1',
  'MCOLN1',
  'AP1S1',
  'HEXA',
  'NPC1',
  'SLC17A5',
  'SCARB2',
  'HYAL1',
  'CLN5',
  'CTSA',
  'TPP1',
  'CLTA',
  'CLTB',
  'CLN3',
  'CLTC',
  'ACP2',
  'GAA',
  'ACP5',
  'NAGA',
  'NAGLU'],
 'KEGG_LIMONENE_AND_PINENE_DEGRADATION': ['NAT6',
  'ECHS1',
  'ALDH9A1',
  'ALDH3A2',
  'HADHA',
  'ALDH1B1',
  'EHHADH',
  'YOD1',
  'ALDH2',
  'ALDH7A1'],
 'KEGG_GALACTOSE_METABOLISM': ['GCK',
  'GALK1',
  'GLB1',
  'GALE',
  'B4GALT1',
  'PGM2',
  'LALBA',
  'PFKM',
  'PFKL',
  'MGAM',
  'HK2',
  'HK1',
  'HK3',
  'GALT',
  'G6PC2',
  'GLA',
  'GANC',
  'LCT',
  'GALK2',
  'G6PC',
  'UGP2',
  'PGM1',
  'AKR1B1',
  'B4GALT2',
  'GAA',
  'PFKP'],
 'KEGG_GLYCOSAMINOGLYCAN_BIOSYNTHESIS_HEPARAN_SULFATE': ['HS3ST5',
  'EXT2',
  'EXT1',
  'NDST3',
  'XYLT1',
  'XYLT2',
  'B3GAT1',
  'NDST1',
  'GLCE',
  'HS3ST3B1',
  'HS2ST1',
  'HS6ST2',
  'B3GAT3',
  'HS3ST1',
  'B3GALT6',
  'HS3ST2',
  'HS6ST1',
  'HS3ST3A1',
  'NDST2',
  'NDST4',
  'HS6ST3',
  'B4GALT7',
  'B3GAT2',
  'EXTL1',
  'EXTL2',
  'EXTL3'],
 'KEGG_NATURAL_KILLER_CELL_MEDIATED_CYTOTOXICITY': ['ZAP70',
  'TNFSF10',
  'ITGAL',
  'PPP3R2',
  'PPP3CC',
  'PPP3R1',
  'FCER1G',
  'SH2D1B',
  'HLA-G',
  'BRAF',
  'VAV1',
  'SHC4',
  'PRF1',
  'VAV2',
  'NRAS',
  'CHP2',
  'ITGB2',
  'GZMB',
  'NFAT5',
  'FCGR3B',
  'RAET1E',
  'ULBP3',
  'FCGR3A',
  'CSF2',
  'PIK3R5',
  'NCR1',
  'HCST',
  'NCR2',
  'NFATC4',
  'NFATC3',
  'KRAS',
  'SHC3',
  'CD247',
  'RAET1L',
  'HLA-E',
  'PAK1',
  'LCP2',
  'KLRK1',
  'PLCG1',
  'PLCG2',
  'PTK2B',
  'NFATC2',
  'NFATC1',
  'LCK',
  'SOS2',
  'PTPN11',
  'KLRC3',
  'RAF1',
  'PRKCB',
  'KLRD1',
  'SHC1',
  'KLRC1',
  'PRKCA',
  'KLRC2',
  'TNF',
  'ICAM2',
  'IFNA5',
  'IFNA4',
  'IFNA2',
  'ICAM1',
  'IFNA1',
  'RAET1G',
  'HLA-C',
  'HLA-B',
  'PTPN6',
  'PRKCG',
  'HLA-A',
  'RAC2',
  'SH3BP2',
  'BID',
  'MAP2K2',
  'KIR2DS5',
  'RAC3',
  'KIR3DL1',
  'KIR3DL2',
  'MAP2K1',
  'IFNA17',
  'CASP3',
  'IFNA21',
  'IFNA6',
  'IFNA7',
  'IFNA8',
  'TYROBP',
  'IFNA10',
  'IFNA13',
  'IFNA14',
  'GRB2',
  'IFNA16',
  'MAPK3',
  'KIR2DL5A',
  'RAC1',
  'SOS1',
  'MAPK1',
  'KIR2DL1',
  'HRAS',
  'KIR2DS4',
  'CD48',
  'KIR2DS3',
  'IFNGR2',
  'LAT',
  'KIR2DL4',
  'ULBP1',
  'KIR2DS1',
  'ULBP2',
  'KIR2DL2',
  'KIR2DL3',
  'TNFRSF10A',
  'IFNG',
  'IFNGR1',
  'TNFRSF10D',
  'SYK',
  'IFNB1',
  'MICB',
  'ARAF',
  'TNFRSF10B',
  'IFNAR1',
  'TNFRSF10C',
  'IFNAR2',
  'MICA',
  'PIK3R3',
  'NCR3',
  'CD244',
  'PPP3CB',
  'PPP3CA',
  'PIK3CA',
  'PIK3CB',
  'FAS',
  'PIK3CD',
  'SHC2',
  'FASLG',
  'FYN',
  'PIK3CG',
  'VAV3',
  'PIK3R1',
  'SH2D1A',
  'PIK3R2',
  'CHP'],
 'KEGG_MAPK_SIGNALING_PATHWAY': ['JUN',
  'MEF2C',
  'ELK4',
  'ELK1',
  'JUND',
  'GADD45B',
  'ZAK',
  'STMN1',
  'RRAS2',
  'MAP3K5',
  'MAP3K1',
  'MAP3K3',
  'MAP3K4',
  'MAP3K7',
  'MAP3K8',
  'AKT1',
  'AKT2',
  'ARRB2',
  'CD14',
  'ARRB1',
  'NRAS',
  'DUSP16',
  'CHP2',
  'RASGRP3',
  'NFKB2',
  'NFKB1',
  'MYC',
  'NFATC4',
  'MAPK14',
  'FLNC',
  'FLNA',
  'KRAS',
  'FLNB',
  'PRKX',
  'TRAF6',
  'TGFB2',
  'DUSP1',
  'DUSP2',
  'TGFB1',
  'TRAF2',
  'BDNF',
  'TAB2',
  'ECSIT',
  'TGFBR2',
  'DUSP7',
  'TGFBR1',
  'DUSP5',
  'DUSP6',
  'DUSP3',
  'TGFB3',
  'PLA2G4E',
  'DUSP4',
  'CACNG5',
  'CACNG4',
  'NF1',
  'PLA2G12A',
  'NFATC2',
  'RASGRP4',
  'MAP3K2',
  'MAX',
  'DUSP10',
  'FGF9',
  'FGF8',
  'FGF7',
  'FGF6',
  'FGF5',
  'FGF3',
  'FGF4',
  'FGF1',
  'FGF2',
  'PTPN5',
  'FGF21',
  'IL1R2',
  'MAPK9',
  'CACNA2D3',
  'MAPK10',
  'MAPK11',
  'RASGRP2',
  'PLA2G2A',
  'MAP2K2',
  'PLA2G4A',
  'MAP2K3',
  'MECOM',
  'PLA2G5',
  'MAPK13',
  'MAP2K1',
  'FGFR2',
  'MAP2K7',
  'RASA2',
  'MAPK8IP2',
  'RASGRF1',
  'MAP2K5',
  'RASGRF2',
  'FGFR4',
  'MAP2K6',
  'MAPK8IP3',
  'MAP3K6',
  'CASP3',
  'MAP3K12',
  'FGFR3',
  'FGFR1',
  'RASA1',
  'FGF14',
  'RPS6KA2',
  'RPS6KA3',
  'FGF17',
  'FGF16',
  'FGF10',
  'GRB2',
  'FGF11',
  'FGF12',
  'FGF13',
  'PLA2G1B',
  'RPS6KA1',
  'MAPKAPK3',
  'IKBKG',
  'HRAS',
  'CACNG2',
  'FGF23',
  'CACNG3',
  'MKNK2',
  'FGF18',
  'STK4',
  'STK3',
  'MAPK8IP1',
  'MOS',
  'RAP1A',
  'MAPT',
  'RAP1B',
  'PPP3CB',
  'PPP3CA',
  'CACNA1H',
  'CACNA1G',
  'CACNA1I',
  'ATF4',
  'TAB1',
  'FOS',
  'TAOK2',
  'RPS6KA6',
  'PPP3R2',
  'CACNG8',
  'PPP5C',
  'PPP3CC',
  'CACNG6',
  'PPP3R1',
  'CACNG7',
  'MAP2K4',
  'ATF2',
  'PDGFRB',
  'JMJD7-PLA2G4B',
  'MAP4K3',
  'PLA2G6',
  'PLA2G2E',
  'PLA2G10',
  'MAP4K4',
  'RPS6KA5',
  'BRAF',
  'IKBKB',
  'PLA2G4B',
  'MAP3K11',
  'CACNA2D2',
  'IL1A',
  'PLA2G2F',
  'DAXX',
  'AKT3',
  'GADD45G',
  'FGF20',
  'RELB',
  'MAPKAPK5',
  'MAPK12',
  'RELA',
  'GNA12',
  'HSPA8',
  'HSPB1',
  'PTPRR',
  'LAMTOR3',
  'GADD45A',
  'NGF',
  'DDIT3',
  'MAP3K14',
  'TAOK1',
  'PDGFA',
  'FGF22',
  'PDGFB',
  'NLK',
  'PDGFRA',
  'PRKACA',
  'PRKACB',
  'PAK1',
  'PRKACG',
  'CRK',
  'CDC25B',
  'CRKL',
  'MAP3K13',
  'PLA2G2D',
  'CDC42',
  'RASGRP1',
  'CACNA2D1',
  'CACNB1',
  'SRF',
  'CACNB2',
  'SOS2',
  'CACNB3',
  'CACNB4',
  'CHUK',
  'CACNG1',
  'PRKCB',
  'RAF1',
  'PRKCA',
  'TNF',
  'PAK2',
  'MKNK1',
  'PLA2G3',
  'PRKCG',
  'PTPN7',
  'RAPGEF2',
  'HSPA1L',
  'CACNA1A',
  'HSPA1B',
  'RAC2',
  'HSPA2',
  'CACNA1D',
  'CACNA1E',
  'RAC3',
  'CACNA1B',
  'HSPA1A',
  'PLA2G12B',
  'CACNA1C',
  'DUSP8',
  'CACNA1F',
  'CACNA1S',
  'MAP4K1',
  'TNFRSF1A',
  'DUSP9',
  'PPM1A',
  'PPM1B',
  'MAPK3',
  'RPS6KA4',
  'CACNA2D4',
  'HSPA6',
  'MAPK7',
  'FGF19',
  'RAC1',
  'SOS1',
  'MAPK1',
  'DUSP14',
  'MAP4K2',
  'MAPK8',
  'EGFR',
  'MAPKAPK2',
  'EGF',
  'RRAS',
  'TAOK3',
  'GNG12',
  'NTF4',
  'IL1B',
  'MRAS',
  'NTF3',
  'IL1R1',
  'TP53',
  'FAS',
  'NR4A1',
  'PLA2G2C',
  'FASLG',
  'NTRK2',
  'NTRK1',
  'CHP'],
 'KEGG_NICOTINATE_AND_NICOTINAMIDE_METABOLISM': ['NMNAT1',
  'NT5C2',
  'ENPP3',
  'ENPP1',
  'BST1',
  'NNT',
  'AOX1',
  'CD38',
  'NT5M',
  'NADSYN1',
  'NUDT12',
  'NT5C1B',
  'NT5C3',
  'C9orf95',
  'NT5C1A',
  'QPRT',
  'NAMPT',
  'NT5C',
  'NMNAT3',
  'PNP',
  'NMNAT2',
  'NT5E',
  'NADK',
  'NNMT'],
 'KEGG_BIOSYNTHESIS_OF_UNSATURATED_FATTY_ACIDS': ['ACOT4',
  'TECR',
  'BAAT',
  'ELOVL5',
  'ELOVL6',
  'ACOT2',
  'YOD1',
  'ELOVL2',
  'FADS1',
  'FADS2',
  'ACOX3',
  'PECR',
  'SCD5',
  'SCD',
  'PTPLA',
  'ACAA1',
  'HADHA',
  'ACOT1',
  'ACOT7',
  'ACOX1',
  'HSD17B12',
  'PTPLB'],
 'KEGG_OOCYTE_MEIOSIS': ['CDC16',
  'CALM2',
  'CALM1',
  'IGF1',
  'RPS6KA6',
  'PPP3R2',
  'PPP3CC',
  'SLK',
  'PPP3R1',
  'IGF1R',
  'ANAPC1',
  'SPDYC',
  'ITPR3',
  'SMC1B',
  'LOC728622',
  'CHP2',
  'ANAPC7',
  'ANAPC5',
  'FBXO43',
  'SMC1A',
  'REC8',
  'MAPK12',
  'BTRC',
  'PRKX',
  'SKP1',
  'FBXW11',
  'CALML5',
  'ADCY3',
  'ADCY2',
  'LOC650621',
  'PLK1',
  'ADCY1',
  'RBX1',
  'STAG3',
  'PGR',
  'YWHAB',
  'CAMK2A',
  'BUB1',
  'CAMK2B',
  'CAMK2D',
  'CAMK2G',
  'PRKACA',
  'PRKACB',
  'PRKACG',
  'FBXO5',
  'SGOL1',
  'PTTG1',
  'CALML3',
  'CDC27',
  'CDC25C',
  'PLCZ1',
  'CDC20',
  'YWHAZ',
  'YWHAH',
  'CALM3',
  'CCNB1',
  'YWHAG',
  'YWHAE',
  'CCNE1',
  'PTTG2',
  'ADCY8',
  'ADCY9',
  'ADCY6',
  'ADCY7',
  'ADCY5',
  'SPDYA',
  'CDK1',
  'ESPL1',
  'ANAPC10',
  'INS',
  'ANAPC11',
  'MAP2K1',
  'ADCY4',
  'RPS6KA2',
  'RPS6KA3',
  'CUL1',
  'PPP1CC',
  'PPP1CB',
  'PPP1CA',
  'CPEB1',
  'MAPK3',
  'ANAPC2',
  'MAD2L1',
  'ANAPC4',
  'MAPK1',
  'RPS6KA1',
  'YWHAQ',
  'CDC23',
  'ITPR1',
  'ITPR2',
  'AURKA',
  'PPP2CB',
  'SMC3',
  'PPP2CA',
  'PPP2R1A',
  'AR',
  'PPP2R1B',
  'ANAPC13',
  'MOS',
  'PKMYT1',
  'CDK2',
  'CDC26',
  'PPP3CB',
  'PPP3CA',
  'PPP2R5A',
  'CCNE2',
  'CCNB2',
  'PPP2R5E',
  'MAD2L2',
  'PPP2R5D',
  'PPP2R5C',
  'PPP2R5B',
  'CHP',
  'CALML6'],
 'KEGG_STEROID_HORMONE_BIOSYNTHESIS': ['SRD5A3',
  'AKR1C4',
  'CYP3A5',
  'HSD3B2',
  'UGT2B28',
  'HSD3B1',
  'COMT',
  'SULT2B1',
  'CYP3A4',
  'CYP7A1',
  'CYP11A1',
  'AKR1C3',
  'HSD11B2',
  'SULT1E1',
  'HSD11B1',
  'HSD17B2',
  'HSD17B3',
  'CYP21A2',
  'HSD17B1',
  'CYP19A1',
  'CYP17A1',
  'CYP11B2',
  'CYP11B1',
  'HSD17B6',
  'HSD17B7',
  'UGT2B11',
  'UGT2A3',
  'UGT1A4',
  'CYP3A7',
  'UGT1A1',
  'UGT1A3',
  'UGT1A10',
  'UGT1A8',
  'UGT1A7',
  'UGT1A6',
  'UGT1A5',
  'HSD17B8',
  'AKR1C2',
  'AKR1C1',
  'CYP1A1',
  'CYP1B1',
  'STS',
  'UGT2A1',
  'SRD5A2',
  'SRD5A1',
  'CYP3A43',
  'CYP7B1',
  'UGT1A9',
  'AKR1D1',
  'HSD17B12',
  'UGT2B10',
  'UGT2B7',
  'UGT2B4',
  'UGT2B17',
  'UGT2B15'],
 'KEGG_GLYCOSYLPHOSPHATIDYLINOSITOL_GPI_ANCHOR_BIOSYNTHESIS': ['PIGP',
  'PIGW',
  'PIGM',
  'PIGN',
  'PIGS',
  'PIGF',
  'DPM2',
  'PIGQ',
  'PIGH',
  'PIGO',
  'PIGG',
  'PIGZ',
  'GPAA1',
  'PIGU',
  'PGAP1',
  'PIGT',
  'PIGK',
  'PIGY',
  'PIGL',
  'PIGV',
  'PIGB',
  'PIGX',
  'PIGA',
  'GPLD1',
  'PIGC'],
 'KEGG_ALPHA_LINOLENIC_ACID_METABOLISM': ['JMJD7-PLA2G4B',
  'PLA2G6',
  'PLA2G2E',
  'PLA2G10',
  'PLA2G2A',
  'PLA2G4A',
  'PLA2G5',
  'PLA2G12B',
  'PLA2G4B',
  'PLA2G2F',
  'FADS2',
  'ACOX3',
  'PLA2G2C',
  'PLA2G2D',
  'PLA2G3',
  'PLA2G12A',
  'ACOX1',
  'PLA2G4E',
  'PLA2G1B'],
 'KEGG_SULFUR_METABOLISM': ['SULT1E1',
  'PAPSS1',
  'SULT1A4',
  'SULT1A3',
  'PAPSS2',
  'CHST11',
  'SULT1A1',
  'SULT2B1',
  'SUOX',
  'BPNT1',
  'CHST13',
  'SULT1A2',
  'CHST12'],
 'KEGG_HOMOLOGOUS_RECOMBINATION': ['RAD54L',
  'XRCC3',
  'RAD51B',
  'NBN',
  'RAD52',
  'RAD51D',
  'XRCC2',
  'POLD4',
  'BLM',
  'EME1',
  'RPA1',
  'RAD51',
  'POLD3',
  'RAD50',
  'RPA3',
  'RPA2',
  'RPA4',
  'RAD51C',
  'MRE11A',
  'BRCA2',
  'POLD1',
  'POLD2',
  'MUS81',
  'TOP3A',
  'RAD54B',
  'SHFM1',
  'TOP3B',
  'SSBP1'],
 'KEGG_PYRIMIDINE_METABOLISM': ['NT5C2',
  'POLR2G',
  'POLR2H',
  'POLR2E',
  'POLR2F',
  'POLR2I',
  'POLR2J',
  'POLE3',
  'TYMS',
  'TXNRD1',
  'NME6',
  'POLR1D',
  'PNPT1',
  'POLR2K',
  'DHODH',
  'POLD3',
  'POLR2L',
  'NME1-NME2',
  'POLA2',
  'UPRT',
  'CANT1',
  'NME4',
  'NME1',
  'NME2',
  'NME3',
  'POLR3C',
  'POLR3G',
  'POLR3F',
  'NUDT2',
  'PRIM1',
  'PRIM2',
  'NME5',
  'POLD4',
  'DTYMK',
  'CTPS',
  'POLA1',
  'ENTPD8',
  'POLE2',
  'POLD1',
  'POLD2',
  'POLE',
  'CAD',
  'CMPK2',
  'POLR1E',
  'NT5C1A',
  'POLR3A',
  'DCTD',
  'POLR2B',
  'POLR2A',
  'DCK',
  'POLR2D',
  'POLR2C',
  'UCK1',
  'UPB1',
  'TXNRD2',
  'CMPK1',
  'POLR3K',
  'RRM2B',
  'PNP',
  'POLR1B',
  'UPP2',
  'CTPS2',
  'POLR2J2',
  'CDA',
  'NT5M',
  'DUT',
  'POLR3H',
  'UCKL1',
  'POLR2J3',
  'POLR1A',
  'POLR3B',
  'ENTPD4',
  'ITPA',
  'POLR1C',
  'POLE4',
  'RRM1',
  'RRM2',
  'POLR3D',
  'NT5C3',
  'DPYS',
  'DPYD',
  'TYMP',
  'UMPS',
  'UCK2',
  'POLR3GL',
  'TK1',
  'NT5E',
  'TK2',
  'UPP1',
  'ENTPD6',
  'ENTPD5',
  'ENTPD3',
  'ENTPD1',
  'NT5C1B',
  'NT5C',
  'NME7',
  'AK3',
  'ZNRD1'],
 'KEGG_ENDOMETRIAL_CANCER': ['CASP9',
  'SOS2',
  'RAF1',
  'ELK1',
  'APC2',
  'LEF1',
  'BAD',
  'ERBB2',
  'MAP2K2',
  'BRAF',
  'MLH1',
  'MAP2K1',
  'PDPK1',
  'ILK',
  'AKT1',
  'AKT2',
  'NRAS',
  'AKT3',
  'GRB2',
  'AXIN1',
  'AXIN2',
  'MAPK3',
  'TCF7',
  'CTNNA1',
  'MYC',
  'SOS1',
  'MAPK1',
  'TCF7L2',
  'PIK3R5',
  'HRAS',
  'EGFR',
  'GSK3B',
  'KRAS',
  'CTNNA2',
  'EGF',
  'CTNNB1',
  'ARAF',
  'CCND1',
  'PTEN',
  'PIK3R3',
  'TCF7L1',
  'FOXO3',
  'APC',
  'TP53',
  'PIK3CA',
  'PIK3CB',
  'PIK3CD',
  'CTNNA3',
  'PIK3CG',
  'PIK3R1',
  'PIK3R2',
  'CDH1'],
 'KEGG_OTHER_GLYCAN_DEGRADATION': ['ENGASE',
  'GLB1',
  'MANBA',
  'MAN2B1',
  'GBA',
  'NEU4',
  'NEU2',
  'NEU1',
  'FUCA1',
  'FUCA2',
  'AGA',
  'MAN2C1',
  'MAN2B2',
  'NEU3',
  'HEXB',
  'HEXA'],
 'KEGG_OLFACTORY_TRANSDUCTION': ['CALM2',
  'CALM1',
  'OR11H4',
  'OR52W1',
  'OR5AU1',
  'ADRBK2',
  'OR2M2',
  'OR2M7',
  'OR2T33',
  'OR4F5',
  'CLCA4',
  'OR52K1',
  'OR52I1',
  'OR51D1',
  'OR2J2',
  'OR8I2',
  'OR2D2',
  'OR2D3',
  'OR4K13',
  'OR4K2',
  'OR2AK2',
  'OR4N5',
  'OR2L3',
  'OR4K17',
  'OR2L8',
  'ARRB2',
  'OR11G2',
  'OR11L1',
  'OR5P2',
  'OR5P3',
  'OR6C1',
  'OR6C75',
  'OR10AG1',
  'OR6C76',
  'OR6C70',
  'OR5J2',
  'OR52A1',
  'OR4M2',
  'OR51S1',
  'OR4N2',
  'GUCA1B',
  'OR52R1',
  'GUCA1A',
  'OR51F2',
  'OR13H1',
  'OR9K2',
  'CAMK2A',
  'CAMK2B',
  'CAMK2D',
  'CAMK2G',
  'OR51B5',
  'OR10J5',
  'CALML3',
  'OR2H1',
  'CALM3',
  'OR7G2',
  'OR7G3',
  'OR10A2',
  'OR10V1',
  'PDC',
  'OR7A10',
  'OR13C5',
  'OR9G4',
  'OR10H5',
  'OR4P4',
  'OR2C1',
  'OR1F1',
  'OR1D2',
  'OR10A4',
  'OR5B3',
  'OR7D2',
  'OR56B4',
  'OR13F1',
  'OR13C4',
  'OR13C3',
  'OR2T11',
  'OR13C8',
  'OR2T4',
  'OR52B6',
  'OR3A1',
  'OR2AT4',
  'OR3A2',
  'OR4F15',
  'OR4F6',
  'OR1C1',
  'OR4C15',
  'OR1A2',
  'OR4N4',
  'OR56B1',
  'OR2A1',
  'OR5I1',
  'OR2A12',
  'OR7D4',
  'OR9A4',
  'OR5C1',
  'OR4K14',
  'OR1L6',
  'OR4L1',
  'OR2M3',
  'OR2T12',
  'OR14C36',
  'OR11H6',
  'OR2T34',
  'OR2T10',
  'OR2T8',
  'OR2T3',
  'OR2W3',
  'OR6V1',
  'OR6Q1',
  'OR9I1',
  'OR13C2',
  'OR1G1',
  'OR3A3',
  'OR1Q1',
  'OR13A1',
  'GUCY2D',
  'OR5H6',
  'OR6F1',
  'OR2M5',
  'OR8D2',
  'OR4C16',
  'OR4C11',
  'GUCA1C',
  'OR1E1',
  'OR1E2',
  'OR1D4',
  'OR1D5',
  'OR1A1',
  'OR5F1',
  'OR5AP2',
  'OR10H4',
  'OR8D1',
  'OR4C46',
  'OR4C6',
  'CLCA2',
  'OR4S2',
  'OR6B2',
  'OR5D18',
  'OR5L1',
  'OR5D14',
  'OR8U1',
  'OR6C6',
  'OR4B1',
  'OR4X2',
  'OR8D4',
  'OR4X1',
  'GNAL',
  'OR6C65',
  'OR6C68',
  'OR8B4',
  'OR52E2',
  'OR52J3',
  'OR5D16',
  'OR4K1',
  'OR4D6',
  'OR5A1',
  'OR5D13',
  'OR5A2',
  'OR2A4',
  'OR52K2',
  'OR4D11',
  'OR52M1',
  'OR2A5',
  'OR8K5',
  'OR6B3',
  'OR51A7',
  'OR51T1',
  'OR51A4',
  'OR51A2',
  'OR8A1',
  'OR51L1',
  'OR5AS1',
  'OR1B1',
  'OR1J1',
  'OR10G7',
  'OR10G4',
  'OR5M1',
  'OR5M10',
  'OR6M1',
  'OR6X1',
  'OR8G5',
  'OR12D3',
  'OR5M9',
  'OR5B17',
  'OR1L8',
  'OR10Q1',
  'OR1N2',
  'OR1N1',
  'OR8J1',
  'OR51V1',
  'OR1S2',
  'OR1S1',
  'OR9Q1',
  'OR5R1',
  'OR9Q2',
  'OR8B12',
  'OR8K3',
  'OR8K1',
  'OR6T1',
  'OR10S1',
  'OR1K1',
  'OR4D5',
  'OR2A2',
  'OR8H2',
  'OR8H3',
  'OR10G9',
  'OR5T1',
  'OR5T3',
  'OR5T2',
  'OR56A4',
  'OR5B21',
  'OR56A1',
  'OR8H1',
  'OR51F1',
  'OR10G8',
  'CALML6',
  'OR52N1',
  'OR5M8',
  'OR5M3',
  'OR5M11',
  'OR5K2',
  'OR51B4',
  'OR13D1',
  'OR52A5',
  'OR51M1',
  'OR4D9',
  'OR51B6',
  'OR4D10',
  'OR5AN1',
  'OR4F17',
  'OR51G2',
  'OR5AR1',
  'OR2AE1',
  'OR51E2',
  'OR4F16',
  'OR51Q1',
  'OR51G1',
  'OR2Z1',
  'OR51I1',
  'OR51I2',
  'OR52D1',
  'OR52H1',
  'OR5V1',
  'OR2B2',
  'CLCA1',
  'OR1I1',
  'OR52E4',
  'PRKX',
  'OR52N2',
  'OR52E6',
  'OR52N5',
  'OR2J3',
  'OR2B3',
  'OR52N4',
  'OR10J3',
  'OR52E8',
  'OR9G1',
  'OR13J1',
  'OR8J3',
  'OR5B12',
  'OR56A3',
  'OR56A5',
  'OR51B2',
  'OR5AK2',
  'OR52L1',
  'OR2AG2',
  'OR52B4',
  'OR2W1',
  'OR10T2',
  'OR2T1',
  'OR6N2',
  'OR10X1',
  'OR6K2',
  'OR10Z1',
  'OR5AC2',
  'OR2T5',
  'OR14I1',
  'OR2T2',
  'OR10A6',
  'OR1L4',
  'OR10A5',
  'OR2AG1',
  'OR6K6',
  'OR6N1',
  'OR10C1',
  'OR14J1',
  'OR4A16',
  'OR2G3',
  'OR1M1',
  'OR7G1',
  'OR2A25',
  'OR4K5',
  'OR4A5',
  'OR5H2',
  'OR2T27',
  'OR4C45',
  'OR2G2',
  'OR2C3',
  'OR4A47',
  'OR13C9',
  'OR11H1',
  'OR4A15',
  'OR7A5',
  'OR7C2',
  'OR10R2',
  'OR7C1',
  'OR51E1',
  'OR52I2',
  'OR2H2',
  'OR4S1',
  'OR2T6',
  'OR4C13',
  'OR4C12',
  'OR6C74',
  'OR6C3',
  'OR10A7',
  'OR14A16',
  'OR10G2',
  'OR10H3',
  'OR2T29',
  'OR10G3',
  'OR10H2',
  'OR10H1',
  'OR4C3',
  'OR1L1',
  'OR11A1',
  'ADCY3',
  'CALML5',
  'OR1L3',
  'PDE1C',
  'CNGA3',
  'CNGA4',
  'OR8S1',
  'OR52B2',
  'OR4E2',
  'OR5L2',
  'OR5K1',
  'OR2L13',
  'OR4D1',
  'PRKACA',
  'PRKACB',
  'PRKACG',
  'OR1J2',
  'OR10J1',
  'OR4F3',
  'OR2A42',
  'OR2V2',
  'OR4F4',
  'CNGB1',
  'OR7A17',
  'OR13G1',
  'OR2Y1',
  'OR6S1',
  'OR9A2',
  'OR2B6',
  'OR2F1',
  'OR4M1',
  'OR12D2',
  'OR2B11',
  'OR8G2',
  'OR8B8',
  'OR8G1',
  'OR4D2',
  'OR4Q3',
  'OR10A3',
  'PRKG1',
  'OR1J4',
  'PRKG2',
  'OR6A2',
  'OR2M4',
  'OR2S2',
  'OR10P1',
  'OR10K2',
  'OR10K1',
  'OR2A14',
  'OR2K2',
  'OR2F2',
  'OR2L2',
  'OR6B1',
  'OR2A7',
  'OR6C4',
  'OR6C2',
  'OR7E24',
  'OR2G6',
  'OR6K3',
  'OR6Y1',
  'OR10AD1',
  'OR8U8',
  'OR4K15'],
 'KEGG_UBIQUITIN_MEDIATED_PROTEOLYSIS': ['CDC16',
  'KLHL13',
  'PIAS3',
  'UBA6',
  'UBE2L6',
  'BIRC3',
  'HERC1',
  'XIAP',
  'PML',
  'HERC2',
  'PRPF19',
  'ANAPC1',
  'UBE2S',
  'UBE2O',
  'UBE2M',
  'UBE2Q2',
  'MAP3K1',
  'UBE4A',
  'BRCA1',
  'MDM2',
  'UBE2K',
  'UBE2D4',
  'UBOX5',
  'KLHL9',
  'UBR5',
  'UBE3A',
  'UBE2R2',
  'RFWD2',
  'TRIM37',
  'FBXW8',
  'UBE2E3',
  'LOC652671',
  'LOC728622',
  'ANAPC7',
  'ANAPC5',
  'UBE2QL1',
  'PIAS1',
  'SMURF1',
  'STUB1',
  'UBE2G2',
  'BTRC',
  'UBE2G1',
  'UBE2I',
  'SOCS1',
  'UBE2H',
  'UBE2J2',
  'SKP1',
  'TRAF6',
  'FBXW11',
  'UBE2L3',
  'NHLRC1',
  'UBE2N',
  'UBE4B',
  'MGRN1',
  'LOC650621',
  'RBX1',
  'DDB2',
  'NEDD4L',
  'SOCS3',
  'SIAH1',
  'DDB1',
  'DET1',
  'RNF7',
  'BIRC2',
  'UBE2U',
  'UBE2Z',
  'UBA7',
  'VHL',
  'UBA1',
  'UBE2NL',
  'PIAS4',
  'AIRE',
  'FBXO4',
  'CBLC',
  'UBE2A',
  'CDC27',
  'HUWE1',
  'UBE2B',
  'CDC34',
  'UBE2D1',
  'UBA3',
  'UBE2E1',
  'UBE2E2',
  'UBE2D2',
  'CDC20',
  'UBE2D3',
  'ITCH',
  'UBE2Q1',
  'ANAPC10',
  'RCHY1',
  'UBE2W',
  'WWP1',
  'PPIL2',
  'TCEB1',
  'UBE3C',
  'UBE2J1',
  'ANAPC11',
  'TCEB2',
  'SAE1',
  'UBA2',
  'RHOBTB2',
  'CUL5',
  'KEAP1',
  'SYVN1',
  'PARK2',
  'SKP2',
  'PIAS2',
  'CUL7',
  'CUL1',
  'FBXW7',
  'CUL2',
  'CUL3',
  'UBE3B',
  'CUL4A',
  'CUL4B',
  'ANAPC2',
  'FANCL',
  'ANAPC4',
  'SMURF2',
  'CDC23',
  'CBLB',
  'CBL',
  'LOC652346',
  'NEDD4',
  'TRIM32',
  'FZR1',
  'TRIP12',
  'UBE2F',
  'ANAPC13',
  'FBXO2',
  'HERC4',
  'WWP2',
  'UBE2C',
  'CDC26',
  'HERC3',
  'BIRC6',
  'ERCC8',
  'MID1'],
 'KEGG_ADHERENS_JUNCTION': ['MLLT4',
  'LOC100418883',
  'SORBS1',
  'WAS',
  'SNAI2',
  'IGF1R',
  'RHOA',
  'CREBBP',
  'LEF1',
  'ACTN4',
  'PTPN6',
  'ACTN1',
  'SNAI1',
  'ERBB2',
  'WASF2',
  'RAC2',
  'PTPRJ',
  'WASL',
  'LOC646821',
  'RAC3',
  'PTPRF',
  'WASF1',
  'MAP3K7',
  'FGFR1',
  'IQGAP1',
  'SMAD3',
  'MAPK3',
  'TCF7',
  'SMAD4',
  'ACTG1',
  'INSR',
  'WASF3',
  'CTNNA1',
  'PTPRB',
  'RAC1',
  'TCF7L2',
  'SMAD2',
  'MAPK1',
  'CSNK2A1',
  'PVRL3',
  'CSNK2A2',
  'EP300',
  'EGFR',
  'VCL',
  'CTNNA2',
  'CTNNB1',
  'CTNND1',
  'FARP2',
  'CSNK2B',
  'TGFBR2',
  'PTPRM',
  'PVRL4',
  'TGFBR1',
  'ACTB',
  'TJP1',
  'MET',
  'SSX2IP',
  'SRC',
  'NLK',
  'TCF7L1',
  'YES1',
  'FER',
  'BAIAP2',
  'CTNNA3',
  'LMO7',
  'FYN',
  'ACP1',
  'PTPN1',
  'PARD3',
  'CDC42',
  'ACTN2',
  'PVRL2',
  'CDH1',
  'ACTN3',
  'PVRL1'],
 'KEGG_VASOPRESSIN_REGULATED_WATER_REABSORPTION': ['ADCY9',
  'ADCY6',
  'DYNLL2',
  'DYNC1LI2',
  'VAMP2',
  'DCTN6',
  'CREB3L4',
  'AQP4',
  'PRKX',
  'RAB11A',
  'DYNLL1',
  'DCTN2',
  'AQP3',
  'CREB3L1',
  'ADCY3',
  'CREB3',
  'RAB5B',
  'AVPR2',
  'RAB5A',
  'CREB3L3',
  'NSF',
  'DCTN5',
  'AVP',
  'CREB3L2',
  'RAB11B',
  'STX4',
  'PRKACA',
  'PRKACB',
  'PRKACG',
  'CREB1',
  'GNAS',
  'DYNC2H1',
  'DYNC1H1',
  'DCTN4',
  'DYNC1I2',
  'DCTN1',
  'DYNC1I1',
  'CREB5',
  'AQP2',
  'DYNC2LI1',
  'ARHGDIA',
  'ARHGDIB',
  'DYNC1LI1',
  'RAB5C'],
 'KEGG_GLIOMA': ['SOS2',
  'CALM2',
  'E2F1',
  'PRKCB',
  'RAF1',
  'SHC1',
  'PRKCA',
  'CALM1',
  'IGF1',
  'MTOR',
  'IGF1R',
  'PRKCG',
  'PDGFRB',
  'MAP2K2',
  'TGFA',
  'BRAF',
  'MAP2K1',
  'MDM2',
  'RB1',
  'AKT1',
  'SHC4',
  'AKT2',
  'NRAS',
  'AKT3',
  'GRB2',
  'MAPK3',
  'SOS1',
  'MAPK1',
  'PIK3R5',
  'HRAS',
  'EGFR',
  'KRAS',
  'CDKN2A',
  'SHC3',
  'CDKN1A',
  'EGF',
  'ARAF',
  'CALML5',
  'CCND1',
  'PTEN',
  'PIK3R3',
  'PDGFA',
  'CAMK2A',
  'PDGFB',
  'CAMK2B',
  'PDGFRA',
  'CAMK2D',
  'CAMK2G',
  'CDK4',
  'TP53',
  'E2F3',
  'CALML3',
  'E2F2',
  'PIK3CA',
  'PIK3CB',
  'CDK6',
  'PIK3CD',
  'PLCG1',
  'SHC2',
  'PLCG2',
  'CALM3',
  'PIK3CG',
  'PIK3R1',
  'PIK3R2',
  'CALML6'],
 'KEGG_GLYCEROLIPID_METABOLISM': ['MBOAT2',
  'GPAM',
  'LIPG',
  'DGKZ',
  'DGKE',
  'DGKD',
  'DGKH',
  'MBOAT1',
  'GK',
  'DGAT2',
  'GK2',
  'GLA',
  'ALDH7A1',
  'AGK',
  'DAK',
  'AGPAT3',
  'AWAT2',
  'AGPAT4',
  'AKR1B1',
  'PNLIPRP2',
  'PNLIPRP1',
  'PNLIP',
  'DGAT1',
  'GLYCTK',
  'LPL',
  'ALDH1B1',
  'DGKQ',
  'ALDH2',
  'DGKB',
  'DGKG',
  'AKR1A1',
  'DGKA',
  'PPAP2B',
  'LIPC',
  'DGKI',
  'LCLAT1',
  'AGPAT9',
  'MGLL',
  'AGPAT6',
  'ALDH9A1',
  'ALDH3A2',
  'PNPLA3',
  'PPAP2A',
  'PPAP2C',
  'AGPAT1',
  'AGPAT2',
  'CEL',
  'GPAT2',
  'LIPF'],
 'KEGG_CELL_CYCLE': ['CDC16',
  'CDC7',
  'CDC45',
  'GADD45B',
  'DBF4',
  'ANAPC1',
  'CREBBP',
  'MDM2',
  'ABL1',
  'SMC1B',
  'LOC728622',
  'GADD45G',
  'ATM',
  'ATR',
  'ANAPC7',
  'RBL2',
  'ANAPC5',
  'RBL1',
  'MYC',
  'CDC14B',
  'SMC1A',
  'CDC14A',
  'LOC731751',
  'SKP1',
  'TGFB2',
  'TGFB1',
  'GADD45A',
  'STAG1',
  'LOC650621',
  'PLK1',
  'RBX1',
  'STAG2',
  'TGFB3',
  'MCM4',
  'ORC6',
  'CCND1',
  'MAD1L1',
  'MCM3',
  'MCM6',
  'MCM5',
  'YWHAB',
  'CCNA2',
  'MCM7',
  'BUB1',
  'CHEK1',
  'WEE2',
  'MCM2',
  'PTTG1',
  'CDC27',
  'CDC25B',
  'CDC25C',
  'LOC651610',
  'CDC25A',
  'CDC6',
  'CDC20',
  'BUB3',
  'YWHAZ',
  'CCND2',
  'YWHAH',
  'CCNB1',
  'YWHAG',
  'YWHAE',
  'CCNE1',
  'ORC3',
  'CCND3',
  'PTTG2',
  'SFN',
  'E2F1',
  'TFDP1',
  'ZBTB17',
  'CDK1',
  'ESPL1',
  'ANAPC10',
  'RAD21',
  'BUB1B',
  'ANAPC11',
  'RB1',
  'SKP2',
  'CUL1',
  'SMAD3',
  'SMAD4',
  'ANAPC2',
  'TFDP2',
  'PRKDC',
  'MAD2L1',
  'ANAPC4',
  'SMAD2',
  'YWHAQ',
  'CHEK2',
  'CDC23',
  'EP300',
  'GSK3B',
  'CDKN2A',
  'CDKN1C',
  'CDKN1B',
  'CDKN1A',
  'CDKN2D',
  'CCNA1',
  'CDKN2B',
  'CDKN2C',
  'FZR1',
  'SMC3',
  'ANAPC13',
  'PCNA',
  'TTK',
  'PKMYT1',
  'CDK2',
  'CDC26',
  'E2F5',
  'CDK4',
  'WEE1',
  'E2F4',
  'E2F3',
  'TP53',
  'E2F2',
  'ORC1',
  'ORC2',
  'CCNE2',
  'CDK6',
  'ORC4',
  'CCNB2',
  'CDK7',
  'MAD2L2',
  'ORC5',
  'HDAC1',
  'HDAC2',
  'CCNH',
  'CCNB3'],
 'KEGG_PROTEASOME': ['LOC652826',
  'PSMD11',
  'PSMD12',
  'PSMC1P4',
  'PSMD13',
  'PSMB11',
  'PSMA1',
  'PSMD4',
  'POMP',
  'PSMD6',
  'PSMD7',
  'PSMA5',
  'PSMD8',
  'PSMA4',
  'PSMA3',
  'PSMA2',
  'PSMF1',
  'IFNG',
  'PSME4',
  'PSME3',
  'LOC100132108',
  'PSMB10',
  'PSMB9',
  'PSMD2',
  'PSMD3',
  'PSMC6',
  'PSMD1',
  'PSMC4',
  'PSMB3',
  'PSMC5',
  'PSMD14',
  'PSMB2',
  'PSME1',
  'PSMC3',
  'PSMB5',
  'PSME2',
  'PSMB4',
  'SHFM1',
  'PSMC1',
  'PSMB7',
  'PSMC2',
  'PSMB6',
  'PSMB8',
  'PSMA6',
  'PSMA7',
  'PSMB1',
  'PSMA8',
  'PSMA6P4'],
 'KEGG_NOTCH_SIGNALING_PATHWAY': ['HES5',
  'DTX3',
  'NOTCH4',
  'DTX3L',
  'NOTCH3',
  'NOTCH2',
  'EP300',
  'HES1',
  'NOTCH1',
  'NUMB',
  'PSEN2',
  'PSEN1',
  'PTCRA',
  'SNW1',
  'APH1A',
  'KAT2A',
  'ADAM17',
  'RFNG',
  'RBPJ',
  'DTX1',
  'CREBBP',
  'DTX2',
  'MAML1',
  'CTBP2',
  'NCOR2',
  'CTBP1',
  'DVL3',
  'JAG2',
  'DVL2',
  'NUMBL',
  'MAML2',
  'KAT2B',
  'DLL4',
  'PSENEN',
  'DLL3',
  'DVL1',
  'CIR1',
  'DLL1',
  'LFNG',
  'JAG1',
  'MAML3',
  'HDAC1',
  'HDAC2',
  'NCSTN',
  'DTX4',
  'MFNG',
  'RBPJL'],
 'KEGG_THYROID_CANCER': ['PAX8',
  'HRAS',
  'CCDC6',
  'TFG',
  'NCOA4',
  'KRAS',
  'CTNNB1',
  'LEF1',
  'CCND1',
  'MAP2K2',
  'TCF7L1',
  'BRAF',
  'MAP2K1',
  'RXRB',
  'RXRG',
  'RXRA',
  'PPARG',
  'TP53',
  'RET',
  'NRAS',
  'TPR',
  'MAPK3',
  'TCF7',
  'NTRK1',
  'MYC',
  'TPM3',
  'CDH1',
  'MAPK1',
  'TCF7L2'],
 'KEGG_MTOR_SIGNALING_PATHWAY': ['TSC2',
  'IGF1',
  'RPS6KA6',
  'MTOR',
  'EIF4B',
  'EIF4E',
  'EIF4EBP1',
  'RICTOR',
  'INS',
  'PGF',
  'ULK1',
  'RHEB',
  'BRAF',
  'HIF1A',
  'PDPK1',
  'RPTOR',
  'AKT1',
  'AKT2',
  'RPS6KA2',
  'RPS6KA3',
  'RPS6KB1',
  'MLST8',
  'AKT3',
  'RPS6KB2',
  'TSC1',
  'ULK2',
  'CAB39',
  'MAPK3',
  'CAB39L',
  'RPS6',
  'MAPK1',
  'RPS6KA1',
  'PIK3R5',
  'ULK3',
  'EIF4E1B',
  'STK11',
  'EIF4E2',
  'VEGFA',
  'PRKAA2',
  'VEGFC',
  'PRKAA1',
  'VEGFB',
  'STRADA',
  'PIK3R3',
  'FIGF',
  'DDIT4',
  'PIK3CA',
  'PIK3CB',
  'PIK3CD',
  'PIK3CG',
  'PIK3R1',
  'PIK3R2'],
 'KEGG_FRUCTOSE_AND_MANNOSE_METABOLISM': ['MPI',
  'PMM2',
  'PMM1',
  'FBP2',
  'PFKM',
  'GMDS',
  'PFKFB4',
  'PFKL',
  'MTMR6',
  'TPI1',
  'PHPT1',
  'PFKFB3',
  'FUK',
  'PFKFB2',
  'MTMR1',
  'PFKFB1',
  'AKR1B10',
  'FPGT',
  'KHK',
  'FBP1',
  'MTMR2',
  'HK2',
  'HK3',
  'HK1',
  'ALDOA',
  'ALDOC',
  'ALDOB',
  'MTMR7',
  'TSTA3',
  'AKR1B1',
  'SORD',
  'GMPPA',
  'PFKP',
  'GMPPB'],
 'KEGG_GNRH_SIGNALING_PATHWAY': ['JUN',
  'CALM2',
  'ELK1',
  'CALM1',
  'MAP2K4',
  'JMJD7-PLA2G4B',
  'MMP2',
  'PLA2G2E',
  'PLA2G6',
  'PLA2G10',
  'MAP3K1',
  'MAP3K3',
  'ITPR3',
  'MAP3K4',
  'PLA2G4B',
  'CGA',
  'PLA2G2F',
  'NRAS',
  'MAPK14',
  'MAPK12',
  'KRAS',
  'GNA11',
  'PRKX',
  'CALML5',
  'ADCY3',
  'ADCY2',
  'ADCY1',
  'PLA2G4E',
  'CAMK2A',
  'CAMK2B',
  'CAMK2D',
  'CAMK2G',
  'PRKACA',
  'GNAQ',
  'PRKACB',
  'PRKACG',
  'GNRHR',
  'GNAS',
  'GNRH2',
  'GNRH1',
  'CALML3',
  'PLA2G2D',
  'PLD1',
  'PLA2G12A',
  'PLD2',
  'HBEGF',
  'CALM3',
  'PTK2B',
  'MAP3K2',
  'CDC42',
  'PLCB2',
  'ADCY8',
  'SOS2',
  'ADCY9',
  'PLCB1',
  'ADCY6',
  'ADCY7',
  'PRKCB',
  'RAF1',
  'PLCB3',
  'PRKCA',
  'ADCY5',
  'PLCB4',
  'PLA2G3',
  'PRKCD',
  'MAPK9',
  'MAPK10',
  'MAPK11',
  'PLA2G2A',
  'MAP2K2',
  'CACNA1D',
  'PLA2G4A',
  'MAP2K3',
  'PLA2G5',
  'MAPK13',
  'PLA2G12B',
  'MAP2K1',
  'CACNA1C',
  'MAP2K7',
  'CACNA1F',
  'MAP2K6',
  'CACNA1S',
  'ADCY4',
  'GRB2',
  'MAPK3',
  'MAPK7',
  'SOS1',
  'PLA2G1B',
  'MAPK1',
  'HRAS',
  'MAPK8',
  'ITPR1',
  'EGFR',
  'ITPR2',
  'MMP14',
  'SRC',
  'FSHB',
  'LHB',
  'PLA2G2C',
  'ATF4',
  'CALML6'],
 'KEGG_BASE_EXCISION_REPAIR': ['NEIL2',
  'MPG',
  'SMUG1',
  'XRCC1',
  'POLE4',
  'HMGB1',
  'POLE3',
  'POLD4',
  'MBD4',
  'OGG1',
  'UNG',
  'POLD3',
  'PCNA',
  'NEIL1',
  'POLE2',
  'PARP4',
  'PARP3',
  'PARP2',
  'POLB',
  'APEX1',
  'POLL',
  'POLD1',
  'POLD2',
  'POLE',
  'NEIL3',
  'TDG',
  'APEX2',
  'LIG3',
  'HMGB1P1',
  'NTHL1',
  'HMGB1P40',
  'FEN1',
  'LIG1',
  'MUTYH',
  'PARP1'],
 'KEGG_ARGININE_AND_PROLINE_METABOLISM': ['SRM',
  'ADC',
  'GLUD2',
  'GLS2',
  'ARG1',
  'ARG2',
  'GLUD1',
  'GLS',
  'ASL',
  'CKMT1A',
  'P4HA2',
  'SMS',
  'CKB',
  'NOS3',
  'NOS2',
  'NOS1',
  'GOT2',
  'GLUL',
  'P4HA1',
  'ABP1',
  'ALDH7A1',
  'LAP3',
  'AGMAT',
  'GOT1',
  'PYCR1',
  'ASS1',
  'ALDH18A1',
  'SAT1',
  'NAGS',
  'DAO',
  'AMD1',
  'MAOB',
  'MAOA',
  'CPS1',
  'P4HA3',
  'ALDH1B1',
  'GATM',
  'ALDH2',
  'OTC',
  'PRODH2',
  'OAT',
  'CKM',
  'ACY1',
  'SAT2',
  'ALDH9A1',
  'ALDH3A2',
  'CKMT1B',
  'PYCRL',
  'GAMT',
  'PRODH',
  'ALDH4A1',
  'CKMT2',
  'PYCR2',
  'ODC1'],
 'KEGG_GLYCOSPHINGOLIPID_BIOSYNTHESIS_LACTO_AND_NEOLACTO_SERIES': ['B3GNT4',
  'B3GNT2',
  'ST3GAL6',
  'B4GALT1',
  'B3GNT5',
  'FUT9',
  'FUT7',
  'FUT6',
  'FUT5',
  'FUT4',
  'FUT3',
  'FUT2',
  'FUT1',
  'B3GNT1',
  'GCNT2',
  'B3GNT3',
  'B3GALT5',
  'ABO',
  'B4GALT3',
  'B4GALT2',
  'ST3GAL4',
  'B4GALT4',
  'ST3GAL3',
  'B3GALT2',
  'B3GALT1',
  'ST8SIA1'],
 'KEGG_ONE_CARBON_POOL_BY_FOLATE': ['MTHFD2',
  'GART',
  'TYMS',
  'FTCD',
  'ALDH1L1',
  'MTHFS',
  'MTFMT',
  'AMT',
  'MTHFD2L',
  'DHFR',
  'SHMT1',
  'MTHFD1L',
  'MTHFD1',
  'MTR',
  'ATIC',
  'MTHFR',
  'SHMT2'],
 'KEGG_SELENOAMINO_ACID_METABOLISM': ['METTL6',
  'AHCY',
  'WBSCR22',
  'SEPHS1',
  'GGT1',
  'SEPHS2',
  'METTL2B',
  'HEMK1',
  'GGT6',
  'LCMT2',
  'PAPSS1',
  'PAPSS2',
  'TRMT11',
  'MARS2',
  'SCLY',
  'AHCYL1',
  'GGT7',
  'GGT5',
  'MAT2B',
  'MAT1A',
  'LCMT1',
  'CBS',
  'AHCYL2',
  'CTH',
  'MAT2A',
  'MARS'],
 'KEGG_RIG_I_LIKE_RECEPTOR_SIGNALING_PATHWAY': ['CASP10',
  'CASP8',
  'CXCL10',
  'CHUK',
  'TRIM25',
  'TNF',
  'IFNA5',
  'IFNA4',
  'IFNA2',
  'ATG12',
  'TBKBP1',
  'FADD',
  'SIKE1',
  'IFNA1',
  'RIPK1',
  'IL8',
  'MAPK9',
  'IL12B',
  'MAPK10',
  'ISG15',
  'MAPK11',
  'MAP3K1',
  'IL12A',
  'MAPK13',
  'IKBKB',
  'MAP3K7',
  'IFNA17',
  'DAK',
  'IFNA21',
  'IFNA6',
  'IFNA7',
  'IFNA8',
  'IFNA10',
  'OTUD5',
  'IFNA13',
  'IFNA14',
  'IFNA16',
  'DDX3X',
  'IKBKE',
  'NFKB1',
  'NFKBIB',
  'NFKBIA',
  'IRF3',
  'IFIH1',
  'IKBKG',
  'MAPK8',
  'MAPK14',
  'MAPK12',
  'RELA',
  'DDX3Y',
  'IFNE',
  'TRAF6',
  'TRAF3',
  'TRAF2',
  'IFNB1',
  'TANK',
  'CYLD',
  'TRADD',
  'ATG5',
  'DDX58',
  'PIN1',
  'MAVS',
  'IFNK',
  'DHX58',
  'TBK1',
  'TMEM173',
  'IFNW1',
  'AZI2',
  'NLRX1',
  'IRF7',
  'RNF125'],
 'KEGG_ENDOCYTOSIS': ['F2R',
  'EPN3',
  'IQSEC1',
  'IQSEC3',
  'ADRBK2',
  'ADRBK1',
  'ADRB3',
  'ADRB2',
  'EPN2',
  'STAMBP',
  'ADRB1',
  'IGF1R',
  'CLTCL1',
  'HGS',
  'VPS37C',
  'FAM125B',
  'PIP4K2B',
  'RUFY1',
  'SMAP2',
  'HLA-G',
  'FLT1',
  'STAM',
  'MDM2',
  'PIKFYVE',
  'VPS37D',
  'PIP5K1A',
  'VPS28',
  'CHMP2B',
  'FAM125A',
  'PIP5K1B',
  'RAB11FIP1',
  'ACAP1',
  'ARRB2',
  'AP2A2',
  'GRK7',
  'ARRB1',
  'AP2B1',
  'AP2A1',
  'EEA1',
  'GRK1',
  'CSF1R',
  'SMURF1',
  'LOC652799',
  'SH3GLB1',
  'VPS4A',
  'ARFGAP3',
  'DNM2',
  'HSPA8',
  'VPS36',
  'PARD6B',
  'RAB31',
  'RAB11A',
  'TRAF6',
  'CHMP4A',
  'PDCD6IP',
  'LDLR',
  'PIP5K1C',
  'NEDD4L',
  'ACAP3',
  'CHMP5',
  'ARAP2',
  'IQSEC2',
  'HLA-F',
  'MET',
  'HLA-E',
  'ARAP3',
  'ASAP2',
  'RAB11B',
  'RAB11FIP5',
  'ZFYVE20',
  'PDGFRA',
  'AGAP1',
  'DNM3',
  'AGAP2',
  'ARFGAP1',
  'ARAP1',
  'CHMP4B',
  'CBLC',
  'ACAP2',
  'VPS25',
  'RAB22A',
  'EHD1',
  'PLD1',
  'PLD2',
  'ITCH',
  'CDC42',
  'SH3GLB2',
  'PARD6A',
  'CHMP6',
  'VTA1',
  'RNF41',
  'DNAJC6',
  'ARF6',
  'CHMP1B',
  'PSD2',
  'USP8',
  'PSD4',
  'WWP1',
  'HLA-C',
  'CXCR4',
  'HLA-B',
  'PRKCI',
  'CXCR2',
  'SH3GL3',
  'CXCR1',
  'TSG101',
  'HLA-A',
  'ERBB4',
  'HSPA1L',
  'HSPA1B',
  'ERBB3',
  'HSPA2',
  'RAB11FIP4',
  'SH3GL1',
  'EPS15',
  'DNM1L',
  'HSPA1A',
  'TFRC',
  'SH3GL2',
  'SMAP1',
  'RAB11FIP2',
  'FGFR2',
  'KDR',
  'KIT',
  'FGFR4',
  'GIT2',
  'DNM1',
  'FGFR3',
  'LDLRAP1',
  'RET',
  'CCR5',
  'PRKCZ',
  'PSD3',
  'ASAP3',
  'HSPA6',
  'RAB5C',
  'DAB2',
  'SMURF2',
  'HRAS',
  'CHMP3',
  'VPS37A',
  'EGFR',
  'IL2RG',
  'VPS37B',
  'IL2RB',
  'CBLB',
  'CBL',
  'PSD',
  'NEDD4',
  'EGF',
  'PARD6G',
  'SH3KBP1',
  'LOC652614',
  'ARFGAP2',
  'RAB5B',
  'RAB4A',
  'EHD4',
  'RAB5A',
  'AP2S1',
  'EHD2',
  'IL2RA',
  'EHD3',
  'AP2M1',
  'SNF8',
  'SRC',
  'VPS4B',
  'STAM2',
  'CHMP2A',
  'GIT1',
  'GRK6',
  'RABEP1',
  'VPS45',
  'RAB11FIP3',
  'CLTA',
  'CLTB',
  'CLTC',
  'CHMP4C',
  'GRK4',
  'PARD3',
  'GRK5',
  'ASAP1',
  'NTRK1',
  'EPN1'],
 'KEGG_CIRCADIAN_RHYTHM_MAMMAL': ['NPAS2',
  'PER3',
  'PER2',
  'CSNK1D',
  'CRY1',
  'BHLHE41',
  'BHLHE40',
  'NR1D1',
  'CRY2',
  'CSNK1E',
  'PER1',
  'CLOCK',
  'ARNTL'],
 'KEGG_HYPERTROPHIC_CARDIOMYOPATHY_HCM': ['CACNA2D1',
  'CACNB1',
  'LOC100418883',
  'CACNB2',
  'CACNB3',
  'CACNB4',
  'CACNG1',
  'TNF',
  'ITGA9',
  'IGF1',
  'RYR2',
  'CACNG8',
  'LMNA',
  'CACNG6',
  'ATP2A2',
  'CACNG7',
  'ITGA4',
  'TPM2',
  'ITGA3',
  'TPM1',
  'ITGA2B',
  'ITGA7',
  'ITGA5',
  'EMD',
  'ITGA11',
  'PRKAG2',
  'DMD',
  'CACNA2D3',
  'CACNA1D',
  'SLC8A1',
  'LOC646821',
  'CACNA1C',
  'TNNI3',
  'CACNA1F',
  'ITGB3',
  'CACNA2D2',
  'CACNA1S',
  'ITGB4',
  'PRKAG3',
  'TNNC1',
  'ITGB5',
  'ITGB6',
  'ITGB7',
  'ITGAV',
  'ITGB1',
  'TPM4',
  'ACTC1',
  'ACTG1',
  'CACNA2D4',
  'MYBPC3',
  'TPM3',
  'ITGA10',
  'SGCD',
  'SGCG',
  'SGCA',
  'ITGA8',
  'SGCB',
  'CACNG2',
  'DAG1',
  'CACNG3',
  'LAMA2',
  'TGFB2',
  'MYL3',
  'TNNT2',
  'MYL2',
  'TGFB1',
  'PRKAB2',
  'PRKAB1',
  'PRKAA2',
  'ITGB8',
  'PRKAA1',
  'TTN',
  'ACTB',
  'ITGA6',
  'TGFB3',
  'ITGA2',
  'ITGA1',
  'CACNG5',
  'CACNG4',
  'PRKAG1',
  'DES',
  'MYH7',
  'MYH6',
  'ACE',
  'IL6'],
 'KEGG_GLYCOSPHINGOLIPID_BIOSYNTHESIS_GANGLIO_SERIES': ['ST6GALNAC4',
  'ST6GALNAC3',
  'ST6GALNAC6',
  'B4GALNT1',
  'GLB1',
  'ST6GALNAC5',
  'SLC33A1',
  'ST3GAL5',
  'ST3GAL2',
  'ST3GAL1',
  'HEXB',
  'ST8SIA1',
  'B3GALT4',
  'ST8SIA5',
  'HEXA'],
 'KEGG_RNA_DEGRADATION': ['LSM5',
  'MPHOSPH6',
  'SKIV2L2',
  'PATL1',
  'EXOSC4',
  'PNPT1',
  'EXOSC2',
  'SKIV2L',
  'XRN2',
  'EXOSC5',
  'TTC37',
  'LSM6',
  'EXOSC3',
  'EXOSC1',
  'EDC4',
  'CNOT3',
  'CNOT2',
  'XRN1',
  'PARN',
  'C1D',
  'PAPOLA',
  'DDX6',
  'DCP1A',
  'ZCCHC7',
  'ENO1',
  'CNOT4',
  'CNOT7',
  'PAPD7',
  'EXOSC8',
  'C1DP3',
  'HSPA9',
  'LSM1',
  'CNOT6L',
  'EXOSC6',
  'LSM7',
  'NAA38',
  'RQCD1',
  'LSM4',
  'CNOT1',
  'CNOT10',
  'EXOSC7',
  'LSM3',
  'DIS3',
  'ENO3',
  'ENO2',
  'CNOT6',
  'C1DP2',
  'LSM2',
  'DCP2',
  'HSPD1',
  'EXOSC9',
  'EXOSC10',
  'EDC3',
  'DCPS',
  'PAPOLB',
  'DCP1B',
  'WDR61',
  'CNOT8',
  'PAPOLG'],
 'KEGG_REGULATION_OF_AUTOPHAGY': ['ATG4A',
  'ULK3',
  'BECN1',
  'IFNA5',
  'IFNA4',
  'IFNA2',
  'GABARAPL1',
  'ATG12',
  'IFNG',
  'IFNA1',
  'ATG4B',
  'PRKAA2',
  'PRKAA1',
  'GABARAPL2',
  'PIK3C3',
  'INS',
  'ATG5',
  'ULK1',
  'PIK3R4',
  'ATG7',
  'IFNA17',
  'IFNA21',
  'IFNA6',
  'IFNA7',
  'IFNA8',
  'IFNA10',
  'IFNA13',
  'IFNA14',
  'ULK2',
  'IFNA16',
  'ATG4C',
  'ATG4D',
  'BECN1P1',
  'ATG3',
  'GABARAP'],
 'KEGG_VIBRIO_CHOLERAE_INFECTION': ['LOC100418883',
  'ATP6V1G1',
  'PDIA4',
  'ADCY9',
  'PRKCB',
  'SLC12A2',
  'SEC61B',
  'PRKCA',
  'TJP2',
  'KDELR3',
  'ATP6V0A1',
  'ATP6V1G2',
  'KDELR2',
  'ATP6V0B',
  'ATP6V1G3',
  'ATP6AP1',
  'PRKCG',
  'CFTR',
  'LOC646821',
  'ATP6V1F',
  'ERO1L',
  'ATP6V0A4',
  'ATP6V0A2',
  'ATP6V0D1',
  'KCNQ1',
  'ARF1',
  'ACTG1',
  'ATP6V0E2',
  'SEC61G',
  'ATP6V1H',
  'PRKX',
  'ATP6V1E2',
  'MUC2',
  'KDELR1',
  'ADCY3',
  'ATP6V0D2',
  'ATP6V0E1',
  'ATP6V1C2',
  'ACTB',
  'TJP1',
  'TCIRG1',
  'PRKACA',
  'PRKACB',
  'PRKACG',
  'GNAS',
  'ATP6V1D',
  'SEC61A2',
  'ATP6V1A',
  'PLCG1',
  'PLCG2',
  'ATP6V1E1',
  'ATP6V1B2',
  'ATP6V1B1',
  'SEC61A1',
  'ATP6V1C1',
  'ATP6V0C'],
 'KEGG_FATTY_ACID_METABOLISM': ['CPT1A',
  'CPT1C',
  'ACADS',
  'ALDH1B1',
  'ACADSB',
  'ACADL',
  'ALDH2',
  'ACADM',
  'CYP4A11',
  'ACAT2',
  'ACADVL',
  'ACAT1',
  'ACAA2',
  'HADH',
  'HADHB',
  'HADHA',
  'CYP4A22',
  'ADH7',
  'ADH6',
  'ACSL6',
  'ADH1B',
  'ADH1C',
  'ADH4',
  'ECHS1',
  'ADH5',
  'ALDH9A1',
  'ALDH3A2',
  'ACSL5',
  'ADH1A',
  'EHHADH',
  'GCDH',
  'ALDH7A1',
  'ACOX3',
  'ACSL1',
  'ACAA1',
  'CPT2',
  'CPT1B',
  'ACOX1',
  'ECI2',
  'ECI1',
  'ACSL3',
  'ACSL4'],
 'KEGG_INSULIN_SIGNALING_PATHWAY': ['GCK',
  'CALM2',
  'PPARGC1A',
  'ELK1',
  'CALM1',
  'EIF4E',
  'EIF4EBP1',
  'PRKAG2',
  'FBP1',
  'HK2',
  'HK1',
  'RHEB',
  'BRAF',
  'PDPK1',
  'IKBKB',
  'EXOC7',
  'AKT1',
  'SHC4',
  'AKT2',
  'NRAS',
  'AKT3',
  'PYGB',
  'PYGM',
  'ACACB',
  'INPP5K',
  'PYGL',
  'ACACA',
  'PIK3R5',
  'PDE3B',
  'PHKB',
  'PHKA2',
  'PHKA1',
  'FLOT2',
  'KRAS',
  'SHC3',
  'SOCS1',
  'PRKX',
  'PRKAB2',
  'CALML5',
  'PRKAB1',
  'PRKAA2',
  'PRKAA1',
  'PDE3A',
  'SOCS3',
  'FOXO1',
  'PRKACA',
  'PRKACB',
  'G6PC2',
  'PRKACG',
  'IRS2',
  'CBLC',
  'CALML3',
  'FLOT1',
  'CRK',
  'SH2B2',
  'CRKL',
  'RHOQ',
  'PRKAG1',
  'PRKAR1A',
  'PRKAR2A',
  'PRKAR1B',
  'CALM3',
  'PTPN1',
  'SOS2',
  'RAF1',
  'SHC1',
  'PRKAR2B',
  'TSC2',
  'SORBS1',
  'SLC2A4',
  'MTOR',
  'MKNK1',
  'SOCS2',
  'FASN',
  'PHKG1',
  'BAD',
  'INS',
  'PHKG2',
  'PRKCI',
  'GYS1',
  'GYS2',
  'INPP5D',
  'MAPK9',
  'HK3',
  'MAPK10',
  'MAP2K2',
  'PTPRF',
  'MAP2K1',
  'PRKAG3',
  'RPTOR',
  'PPP1R3C',
  'RAPGEF1',
  'PPP1R3A',
  'RPS6KB1',
  'RPS6KB2',
  'PRKCZ',
  'TSC1',
  'GRB2',
  'PPP1CC',
  'PPP1CA',
  'PPP1CB',
  'MAPK3',
  'PKLR',
  'INSR',
  'SOS1',
  'RPS6',
  'PPP1R3D',
  'MAPK1',
  'HRAS',
  'MAPK8',
  'PCK2',
  'PCK1',
  'GSK3B',
  'CBLB',
  'CBL',
  'EIF4E1B',
  'FBP2',
  'LIPE',
  'MKNK2',
  'EIF4E2',
  'ARAF',
  'TRIP10',
  'PPP1R3B',
  'PIK3R3',
  'SOCS4',
  'PIK3CA',
  'PIK3CB',
  'PIK3CD',
  'SHC2',
  'G6PC',
  'SREBF1',
  'IRS1',
  'PIK3CG',
  'IRS4',
  'PIK3R1',
  'PIK3R2',
  'CALML6'],
 'KEGG_FOCAL_ADHESION': ['JUN',
  'LOC100418883',
  'ELK1',
  'HGF',
  'PARVA',
  'FN1',
  'TNN',
  'IGF1',
  'BIRC3',
  'XIAP',
  'COMP',
  'THBS4',
  'IGF1R',
  'DIAPH1',
  'ITGA11',
  'PGF',
  'PARVG',
  'ROCK1',
  'PTK2',
  'MYL7',
  'FLT1',
  'FLT4',
  'AKT1',
  'RELN',
  'AKT2',
  'LAMC2',
  'MYL12A',
  'LAMB2',
  'LAMB3',
  'LAMC1',
  'LAMA4',
  'LAMA5',
  'LAMB1',
  'PAK6',
  'PIK3R5',
  'CAPN2',
  'LAMB4',
  'FLNC',
  'FLNA',
  'FLNB',
  'MYL2',
  'MYLK',
  'MYL5',
  'PIP5K1C',
  'MET',
  'MYL10',
  'BIRC2',
  'COL11A1',
  'LAMC3',
  'COL11A2',
  'THBS3',
  'THBS2',
  'THBS1',
  'VWF',
  'ZYX',
  'IBSP',
  'VTN',
  'PDGFD',
  'PPP1R12A',
  'BAD',
  'ACTN4',
  'ACTN1',
  'MAPK9',
  'MAPK10',
  'LOC646821',
  'MAP2K1',
  'RASGRF1',
  'ILK',
  'RAPGEF1',
  'GRB2',
  'PPP1CC',
  'PPP1CB',
  'ACTG1',
  'ITGA10',
  'HRAS',
  'ITGA8',
  'CTNNB1',
  'MYL12B',
  'ACTB',
  'ROCK2',
  'PTEN',
  'RAP1A',
  'PIK3R3',
  'RAP1B',
  'TNC',
  'CAV2',
  'CAV1',
  'CAV3',
  'COL5A3',
  'TLN1',
  'VAV3',
  'COL6A2',
  'COL6A3',
  'COL5A2',
  'COL6A1',
  'LAMA1',
  'ITGA9',
  'CHAD',
  'PAK4',
  'ITGA4',
  'ITGA3',
  'ITGA2B',
  'ITGA7',
  'ITGA5',
  'COL5A1',
  'COL4A6',
  'PDGFRB',
  'COL2A1',
  'COL3A1',
  'COL4A1',
  'PARVB',
  'COL4A2',
  'BRAF',
  'COL4A4',
  'VAV1',
  'PDPK1',
  'ITGB3',
  'ITGB4',
  'VASP',
  'ITGB5',
  'SHC4',
  'ITGB6',
  'DOCK1',
  'ITGB7',
  'ITGAV',
  'ITGB1',
  'AKT3',
  'VAV2',
  'SPP1',
  'COL1A1',
  'COL1A2',
  'TLN2',
  'PDGFC',
  'VCL',
  'SHC3',
  'VEGFA',
  'VEGFC',
  'ITGB8',
  'VEGFB',
  'PXN',
  'PAK7',
  'CCND1',
  'PDGFA',
  'BCL2',
  'PDGFB',
  'PDGFRA',
  'ARHGAP5',
  'BCAR1',
  'PAK1',
  'FIGF',
  'CRK',
  'CRKL',
  'CCND2',
  'CDC42',
  'ACTN2',
  'CCND3',
  'ACTN3',
  'SOS2',
  'PAK3',
  'PRKCB',
  'RAF1',
  'PRKCA',
  'SHC1',
  'PAK2',
  'MYL9',
  'RHOA',
  'PRKCG',
  'MYLPF',
  'ERBB2',
  'RAC2',
  'RAC3',
  'KDR',
  'MYLK2',
  'PPP1CA',
  'MAPK3',
  'ARHGAP35',
  'RAC1',
  'SOS1',
  'MAPK1',
  'MAPK8',
  'EGFR',
  'GSK3B',
  'TNR',
  'EGF',
  'LAMA3',
  'TNXB',
  'LAMA2',
  'ITGA6',
  'ITGA2',
  'SRC',
  'ITGA1',
  'PIK3CA',
  'PIK3CB',
  'PIK3CD',
  'SHC2',
  'COL6A6',
  'MYLK3',
  'FYN',
  'PIK3CG',
  'PIK3R1',
  'PIK3R2'],
 'KEGG_CYTOSOLIC_DNA_SENSING_PATHWAY': ['CXCL10',
  'CHUK',
  'IFNA5',
  'IFNA4',
  'IFNA2',
  'POLR1D',
  'CCL5',
  'CCL4',
  'IFNA1',
  'RIPK1',
  'POLR3K',
  'AIM2',
  'IKBKB',
  'IFNA17',
  'CASP1',
  'IFNA21',
  'IFNA6',
  'POLR3H',
  'IFNA7',
  'IFNA8',
  'IFNA10',
  'IFNA13',
  'IFNA14',
  'IFNA16',
  'POLR3C',
  'IKBKE',
  'POLR3G',
  'POLR3B',
  'POLR3F',
  'NFKB1',
  'NFKBIB',
  'NFKBIA',
  'IRF3',
  'IKBKG',
  'TREX1',
  'POLR1C',
  'IL18',
  'RELA',
  'ZBP1',
  'POLR3D',
  'RIPK3',
  'IFNB1',
  'IL33',
  'PYCARD',
  'POLR3GL',
  'IL1B',
  'ADAR',
  'DDX58',
  'MAVS',
  'CCL4L1',
  'TBK1',
  'TMEM173',
  'CCL4L2',
  'POLR3A',
  'IL6',
  'IRF7'],
 'KEGG_BLADDER_CANCER': ['HRAS',
  'E2F1',
  'RAF1',
  'EGFR',
  'CDKN2A',
  'KRAS',
  'EGF',
  'CDKN1A',
  'TYMP',
  'VEGFA',
  'ARAF',
  'VEGFC',
  'VEGFB',
  'PGF',
  'IL8',
  'CCND1',
  'ERBB2',
  'MMP2',
  'MMP1',
  'MAP2K2',
  'RPS6KA5',
  'BRAF',
  'MMP9',
  'MAP2K1',
  'CDK4',
  'MDM2',
  'RB1',
  'FIGF',
  'RASSF1',
  'TP53',
  'E2F3',
  'FGFR3',
  'E2F2',
  'NRAS',
  'MAPK3',
  'DAPK3',
  'DAPK2',
  'DAPK1',
  'THBS1',
  'MYC',
  'CDH1',
  'MAPK1'],
 'KEGG_ARACHIDONIC_ACID_METABOLISM': ['EPHX2',
  'CYP2E1',
  'ALOX5',
  'CYP4A11',
  'CYP2J2',
  'GGT1',
  'PLA2G3',
  'AKR1C3',
  'PTGIS',
  'ALOX12B',
  'CYP4F2',
  'CYP2C18',
  'PTGES2',
  'ALOX15B',
  'ALOX15',
  'JMJD7-PLA2G4B',
  'PLA2G6',
  'PLA2G2E',
  'PLA2G10',
  'PLA2G2A',
  'PLA2G4A',
  'PLA2G5',
  'PTGS2',
  'PLA2G12B',
  'PTGS1',
  'PLA2G4B',
  'PLA2G2F',
  'ALOX12',
  'CYP2C9',
  'GPX7',
  'GPX6',
  'CYP2C19',
  'CYP2C8',
  'CBR1',
  'CYP2B6',
  'CBR3',
  'CYP2U1',
  'PLA2G1B',
  'LTA4H',
  'PTGES',
  'GPX5',
  'GPX1',
  'CYP4A22',
  'GPX2',
  'GPX3',
  'GPX4',
  'CYP4F3',
  'PLA2G4E',
  'LTC4S',
  'GGT6',
  'GGT7',
  'GGT5',
  'HPGDS',
  'PLA2G2C',
  'PTGDS',
  'PLA2G2D',
  'PLA2G12A',
  'TBXAS1'],
 'KEGG_SPHINGOLIPID_METABOLISM': ['GAL3ST1',
  'SGPP2',
  'GLB1',
  'GALC',
  'SGMS2',
  'GBA',
  'SPHK2',
  'NEU2',
  'PPAP2B',
  'NEU1',
  'ACER2',
  'UGCG',
  'DEGS2',
  'ARSA',
  'SPHK1',
  'SGPL1',
  'NEU3',
  'SMPD4',
  'SGMS1',
  'ACER3',
  'CERK',
  'SMPD2',
  'ENPP7',
  'DEGS1',
  'SGPP1',
  'NEU4',
  'GLA',
  'ACER1',
  'PPAP2A',
  'ASAH2C',
  'ASAH1',
  'PPAP2C',
  'SMPD1',
  'B4GALT6',
  'SPTLC2',
  'SPTLC1',
  'SMPD3',
  'KDSR',
  'UGT8',
  'ASAH2'],
 'KEGG_SMALL_CELL_LUNG_CANCER': ['CASP9',
  'MAX',
  'E2F1',
  'CHUK',
  'LAMA1',
  'RARB',
  'PIAS3',
  'FN1',
  'BIRC3',
  'XIAP',
  'ITGA3',
  'ITGA2B',
  'COL4A6',
  'PTK2',
  'COL4A1',
  'COL4A2',
  'PTGS2',
  'NOS2',
  'COL4A4',
  'RXRB',
  'RXRG',
  'IKBKB',
  'RXRA',
  'RB1',
  'SKP2',
  'AKT1',
  'AKT2',
  'PIAS2',
  'ITGAV',
  'LAMC2',
  'ITGB1',
  'AKT3',
  'LAMB2',
  'LAMB3',
  'LAMC1',
  'LAMA4',
  'LAMA5',
  'LAMB1',
  'NFKB1',
  'NFKBIA',
  'MYC',
  'PIK3R5',
  'PIAS1',
  'IKBKG',
  'LAMB4',
  'RELA',
  'APAF1',
  'CDKN1B',
  'LAMA3',
  'LAMA2',
  'TRAF6',
  'TRAF5',
  'TRAF3',
  'CDKN2B',
  'TRAF2',
  'FHIT',
  'TRAF1',
  'ITGA6',
  'CCND1',
  'PTEN',
  'ITGA2',
  'TRAF4',
  'PIK3R3',
  'BCL2',
  'BCL2L1',
  'BIRC2',
  'CDK2',
  'PIAS4',
  'CDK4',
  'LAMC3',
  'TP53',
  'E2F3',
  'E2F2',
  'PIK3CA',
  'PIK3CB',
  'CCNE2',
  'CYCS',
  'CDK6',
  'PIK3CD',
  'PIK3CG',
  'CCNE1',
  'PIK3R1',
  'CKS1B',
  'PIK3R2'],
 'KEGG_GLUTATHIONE_METABOLISM': ['SRM',
  'GGT1',
  'GSTP1',
  'GSTT2',
  'GSTT1',
  'GSTZ1',
  'RRM2B',
  'SMS',
  'PGD',
  'GSTO1',
  'GSTA5',
  'MGST2',
  'LAP3',
  'MGST1',
  'MGST3',
  'GSTA3',
  'GSTM1',
  'GPX7',
  'GSTA4',
  'GPX6',
  'GSTM4',
  'GGCT',
  'GSTM3',
  'GSTM2',
  'GSTM5',
  'GSTA1',
  'GSTA2',
  'GSR',
  'GSS',
  'RRM1',
  'RRM2',
  'GCLC',
  'GSTK1',
  'GPX5',
  'TXNDC12',
  'GPX1',
  'GPX2',
  'GPX3',
  'IDH2',
  'GPX4',
  'IDH1',
  'OPLAH',
  'GCLM',
  'GGT6',
  'ANPEP',
  'GGT7',
  'GSTO2',
  'GGT5',
  'G6PD',
  'ODC1'],
 'KEGG_CITRATE_CYCLE_TCA_CYCLE': ['IDH3B',
  'DLST',
  'PCK2',
  'CS',
  'PDHB',
  'PCK1',
  'PDHA1',
  'LOC642502',
  'PDHA2',
  'LOC283398',
  'FH',
  'SDHD',
  'OGDH',
  'SDHB',
  'IDH3A',
  'SDHC',
  'IDH2',
  'IDH1',
  'ACO1',
  'ACLY',
  'MDH2',
  'DLD',
  'MDH1',
  'DLAT',
  'OGDHL',
  'PC',
  'SDHA',
  'SUCLG1',
  'SUCLA2',
  'SUCLG2',
  'IDH3G',
  'ACO2'],
 'KEGG_HUNTINGTONS_DISEASE': ['POLR2G',
  'POLR2H',
  'POLR2E',
  'UQCR10',
  'POLR2F',
  'NDUFA5',
  'PPARGC1A',
  'NDUFA4',
  'POLR2I',
  'COX6CP3',
  'POLR2J',
  'TAF4',
  'NRF1',
  'DCTN2',
  'CREB3L1',
  'NDUFS7',
  'CYTB',
  'CREBBP',
  'CREB3',
  'POLR2K',
  'ATP5O',
  'COX2',
  'COX1',
  'UCP1',
  'CLTCL1',
  'COX8C',
  'DNALI1',
  'POLR2L',
  'COX3',
  'LOC729317',
  'COX5B',
  'COX4I1',
  'CREB1',
  'HIP1',
  'AP2A2',
  'ATP6',
  'AP2B1',
  'DCTN4',
  'ATP8',
  'TAF4B',
  'ATP5H',
  'AP2A1',
  'NDUFA2',
  'NDUFA3',
  'NDUFA1',
  'DNAI1',
  'LOC100133737',
  'APAF1',
  'ATP5G1P5',
  'VDAC1',
  'VDAC2',
  'VDAC3',
  'UQCRQ',
  'ATP5D',
  'DNAH1',
  'BBC3',
  'BDNF',
  'COX7A2L',
  'ATP5G3',
  'ATP5G2',
  'CREB3L3',
  'ATP5G1',
  'ATP5F1',
  'ATP5E',
  'COX5A',
  'GNAQ',
  'DNAH2',
  'SLC25A6',
  'SP1',
  'UQCRHL',
  'ATP5A1',
  'SLC25A5',
  'SLC25A4',
  'ATP5J',
  'RCOR1',
  'CYCS',
  'TGM2',
  'SDHA',
  'DCTN1',
  'POLR2B',
  'DNAL1',
  'POLR2A',
  'NDUFA4L2',
  'POLR2D',
  'POLR2C',
  'DNAL4',
  'SLC25A31',
  'CASP9',
  'PLCB2',
  'COX8A',
  'GRM5',
  'CASP8',
  'COX7C',
  'PLCB1',
  'PLCB3',
  'PLCB4',
  'DNAI2',
  'LOC642502',
  'IFT57',
  'CREB3L4',
  'PPID',
  'SDHD',
  'SDHB',
  'SDHC',
  'TFAM',
  'HAP1',
  'COX7B',
  'COX7A1',
  'COX7A2',
  'COX6C',
  'POLR2J2',
  'ATP5B',
  'GRIN1',
  'SOD1',
  'GRIN2B',
  'COX6B1',
  'SOD2',
  'ATP5C1',
  'LOC644310',
  'BAX',
  'COX7B2',
  'CASP3',
  'REST',
  'UQCRB',
  'POLR2J3',
  'COX6A2',
  'CREB5',
  'COX6A1',
  'UQCRH',
  'UQCRFS1',
  'UQCRC2',
  'UQCRC1',
  'SIN3A',
  'NDUFB3',
  'NDUFB1',
  'DLG4',
  'TBPL2',
  'NDUFB2',
  'EP300',
  'ITPR1',
  'NDUFA10',
  'NDUFAB1',
  'NDUFA9',
  'NDUFA7',
  'NDUFA8',
  'DNAH3',
  'UQCR11',
  'NDUFA6',
  'NDUFV3',
  'LOC727947',
  'COX6B2',
  'COX4I2',
  'GPX1',
  'TBP',
  'AP2S1',
  'AP2M1',
  'CREB3L2',
  'NDUFS8',
  'NDUFB10',
  'NDUFC1',
  'NDUFC2',
  'NDUFV2',
  'NDUFS1',
  'NDUFS4',
  'NDUFB6',
  'NDUFV1',
  'NDUFB7',
  'NDUFS6',
  'NDUFB8',
  'NDUFS5',
  'NDUFB9',
  'PPARG',
  'NDUFS2',
  'TP53',
  'NDUFB4',
  'NDUFS3',
  'NDUFB5',
  'CYC1',
  'CLTA',
  'CLTB',
  'CLTC',
  'HDAC1',
  'HDAC2',
  'TBPL1',
  'HTT'],
 'KEGG_RIBOSOME': ['RPL35',
  'RPL23',
  'RPL3',
  'RPL3L',
  'RPL31',
  'RPL4',
  'RPL5',
  'RPL32',
  'RPS10',
  'RPL34',
  'RPS11',
  'RPS12',
  'RPL36AL',
  'RPS13',
  'RPL35A',
  'RPL37A',
  'RPS15',
  'RPL37',
  'RPL38',
  'RPL14',
  'RPS15A',
  'FAU',
  'RPSA',
  'RPS16',
  'RPL27',
  'RPS17',
  'RPL26',
  'RPL24',
  'RPL29',
  'RPL28',
  'RPL27A',
  'UBA52',
  'RPL30',
  'RPL36',
  'RPS20',
  'RPS19',
  'RPS18',
  'RPS4X',
  'RSL24D1P11',
  'RPS4Y1',
  'RPS5',
  'RPL22L1',
  'RPL26L1',
  'RPS6',
  'RPLP2',
  'RPL22',
  'RPL23A',
  'RPL18',
  'RPL18A',
  'RPL19',
  'RPL21',
  'RPS3A',
  'RPL10A',
  'RPS27L',
  'RPS3',
  'RPS2',
  'MRPL13',
  'RPL17',
  'RPL15',
  'RPL36A',
  'RPL12',
  'RPL13',
  'RPL41',
  'RPL10',
  'RPL39',
  'RPL11',
  'RPL8',
  'RPL9',
  'RPL13A',
  'RPL7A',
  'RPS26',
  'RPS27',
  'RPS25',
  'RPS29',
  'RPLP1',
  'RPS27A',
  'RPLP0',
  'RPS28',
  'RPS24',
  'RPS9',
  'RSL24D1',
  'RPS23',
  'RPS8',
  'RPS21',
  'RPS7',
  'RPL10L',
  'RPL7',
  'RPL6'],
 'KEGG_NEUROTROPHIN_SIGNALING_PATHWAY': ['JUN',
  'FRS2',
  'CALM2',
  'CALM1',
  'PDPK1',
  'RPS6KA6',
  'TP73',
  'MAP3K5',
  'RPS6KA5',
  'BRAF',
  'MAP3K1',
  'MAP3K3',
  'IKBKB',
  'ABL1',
  'AKT1',
  'SHC4',
  'AKT2',
  'NRAS',
  'AKT3',
  'SH2B1',
  'NFKB1',
  'NFKBIB',
  'NFKBIA',
  'NFKBIE',
  'PIK3R5',
  'MAPK14',
  'NGFRAP1',
  'MAPK12',
  'RELA',
  'KRAS',
  'SHC3',
  'TRAF6',
  'NGF',
  'CALML5',
  'BDNF',
  'NGFR',
  'SH2B3',
  'CSK',
  'CAMK4',
  'YWHAB',
  'BCL2',
  'CAMK2A',
  'CAMK2B',
  'CAMK2D',
  'FOXO3',
  'CAMK2G',
  'IRS2',
  'SORT1',
  'CALML3',
  'CRK',
  'SH2B2',
  'CRKL',
  'PLCG1',
  'PLCG2',
  'YWHAZ',
  'ARHGDIA',
  'CALM3',
  'YWHAH',
  'ARHGDIB',
  'YWHAG',
  'YWHAE',
  'CDC42',
  'SOS2',
  'PTPN11',
  'RAF1',
  'SHC1',
  'RIPK2',
  'RHOA',
  'BAD',
  'IRAK4',
  'PRKCD',
  'MAPK9',
  'MAPK10',
  'MAGED1',
  'MAPK11',
  'MAP2K2',
  'MAPK13',
  'MAP2K1',
  'BAX',
  'MAP2K7',
  'MAP2K5',
  'RPS6KA2',
  'RAPGEF1',
  'RPS6KA3',
  'GRB2',
  'MAPK3',
  'RPS6KA4',
  'MAPK7',
  'KIDINS220',
  'RAC1',
  'SOS1',
  'MAPK1',
  'RPS6KA1',
  'YWHAQ',
  'HRAS',
  'MAPK8',
  'PRDM4',
  'MAPKAPK2',
  'GSK3B',
  'PSEN1',
  'NTF4',
  'IRAK2',
  'NTF3',
  'IRAK1',
  'RAP1A',
  'PIK3R3',
  'RAP1B',
  'IRAK3',
  'TP53',
  'PIK3CA',
  'PIK3CB',
  'PIK3CD',
  'GAB1',
  'FASLG',
  'SHC2',
  'ATF4',
  'IRS1',
  'ZNF274',
  'NTRK2',
  'PIK3CG',
  'IRS4',
  'NTRK1',
  'PIK3R1',
  'PIK3R2',
  'CALML6',
  'NTRK3'],
 'KEGG_TYPE_I_DIABETES_MELLITUS': ['HLA-DRB4',
  'HLA-DRB5',
  'LTA',
  'HLA-DOA',
  'HLA-DOB',
  'HLA-DRB3',
  'CD80',
  'CD86',
  'CD28',
  'TNF',
  'ICA1',
  'IFNG',
  'LOC652614',
  'PTPRN2',
  'HLA-C',
  'HLA-B',
  'INS',
  'IL1B',
  'HLA-DMB',
  'PTPRN',
  'HLA-DMA',
  'HLA-F',
  'HLA-E',
  'HLA-A',
  'IL2',
  'HLA-DPA1',
  'IL12B',
  'HLA-DPB1',
  'GAD1',
  'HLA-DQA1',
  'HLA-G',
  'HLA-DQA2',
  'IL12A',
  'CPE',
  'HLA-DQB1',
  'GAD2',
  'IL1A',
  'HSPD1',
  'PRF1',
  'FAS',
  'FASLG',
  'GZMB',
  'HLA-DRB1',
  'HLA-DRA'],
 'KEGG_ALZHEIMERS_DISEASE': ['UQCR10',
  'NAE1',
  'CALM2',
  'NDUFA5',
  'NDUFA4',
  'COX6CP3',
  'CALM1',
  'ATP2A1',
  'PPP3R2',
  'EIF2AK3',
  'PPP3CC',
  'ATP2A3',
  'PPP3R1',
  'ATP2A2',
  'NDUFS7',
  'CYTB',
  'ADAM17',
  'BACE2',
  'ATP5O',
  'COX2',
  'COX1',
  'COX8C',
  'MME',
  'COX3',
  'COX5B',
  'ITPR3',
  'PSENEN',
  'LRP1',
  'COX4I1',
  'APOE',
  'ATP6',
  'ATP8',
  'CHP2',
  'ATP5H',
  'NDUFA2',
  'NDUFA3',
  'NDUFA1',
  'CAPN2',
  'LPL',
  'CAPN1',
  'LOC100133737',
  'APAF1',
  'ATP5G1P5',
  'HSD17B10',
  'APH1A',
  'UQCRQ',
  'ATP5D',
  'CALML5',
  'GAPDH',
  'ATF6',
  'COX7A2L',
  'IDE',
  'ATP5G3',
  'ATP5G2',
  'ADAM10',
  'ATP5G1',
  'ATP5F1',
  'ATP5E',
  'COX5A',
  'CDK5R1',
  'ERN1',
  'GNAQ',
  'UQCRHL',
  'ATP5A1',
  'BACE1',
  'CALML3',
  'APBB1',
  'ATP5J',
  'CYCS',
  'SDHA',
  'CALM3',
  'NDUFA4L2',
  'NCSTN',
  'CASP9',
  'PLCB2',
  'COX8A',
  'CASP8',
  'COX7C',
  'CASP7',
  'PLCB1',
  'PLCB3',
  'PLCB4',
  'TNF',
  'LOC642502',
  'RYR3',
  'FADD',
  'SDHD',
  'SDHB',
  'SDHC',
  'COX7B',
  'BAD',
  'COX7A1',
  'COX7A2',
  'COX6C',
  'ATP5B',
  'GRIN1',
  'GRIN2A',
  'GRIN2B',
  'COX6B1',
  'CACNA1D',
  'BID',
  'ATP5C1',
  'GRIN2C',
  'GRIN2D',
  'LOC644310',
  'CACNA1C',
  'NOS1',
  'CACNA1F',
  'CACNA1S',
  'COX7B2',
  'CASP3',
  'TNFRSF1A',
  'UQCRB',
  'COX6A2',
  'MAPK3',
  'COX6A1',
  'UQCRH',
  'UQCRFS1',
  'UQCRC2',
  'UQCRC1',
  'MAPK1',
  'NDUFB3',
  'NDUFB1',
  'NDUFB2',
  'ITPR1',
  'NDUFA10',
  'ITPR2',
  'NDUFAB1',
  'PSEN2',
  'GSK3B',
  'PSEN1',
  'NDUFA9',
  'NDUFA7',
  'NDUFA8',
  'UQCR11',
  'NDUFA6',
  'NDUFV3',
  'LOC727947',
  'COX6B2',
  'COX4I2',
  'IL1B',
  'SNCA',
  'MAPT',
  'NDUFB10',
  'NDUFS8',
  'NDUFC1',
  'NDUFC2',
  'NDUFS1',
  'NDUFV2',
  'NDUFB6',
  'NDUFS4',
  'NDUFB7',
  'NDUFV1',
  'NDUFB8',
  'NDUFS6',
  'NDUFB9',
  'NDUFS5',
  'NDUFS2',
  'PPP3CB',
  'NDUFB4',
  'NDUFS3',
  'PPP3CA',
  'APP',
  'NDUFB5',
  'CDK5',
  'FAS',
  'CYC1',
  'CHP',
  'CALML6'],
 'KEGG_DILATED_CARDIOMYOPATHY': ['CACNA2D1',
  'CACNB1',
  'LOC100418883',
  'CACNB2',
  'ADCY8',
  'CACNB3',
  'ADCY9',
  'CACNB4',
  'ADCY6',
  'CACNG1',
  'ADCY7',
  'ADCY5',
  'TNF',
  'ITGA9',
  'IGF1',
  'RYR2',
  'CACNG8',
  'CACNG6',
  'LMNA',
  'CACNG7',
  'ATP2A2',
  'ADRB1',
  'ITGA4',
  'TPM2',
  'ITGA3',
  'TPM1',
  'ITGA2B',
  'ITGA7',
  'ITGA5',
  'EMD',
  'ITGA11',
  'DMD',
  'CACNA2D3',
  'CACNA1D',
  'SLC8A1',
  'LOC646821',
  'CACNA1C',
  'TNNI3',
  'CACNA1F',
  'ITGB3',
  'CACNA2D2',
  'CACNA1S',
  'ITGB4',
  'ADCY4',
  'TNNC1',
  'ITGB5',
  'ITGB6',
  'ITGB7',
  'ITGAV',
  'ITGB1',
  'TPM4',
  'ACTC1',
  'ACTG1',
  'CACNA2D4',
  'MYBPC3',
  'TPM3',
  'ITGA10',
  'SGCD',
  'SGCG',
  'SGCA',
  'ITGA8',
  'SGCB',
  'CACNG2',
  'DAG1',
  'CACNG3',
  'PRKX',
  'PLN',
  'LAMA2',
  'TGFB2',
  'MYL3',
  'TNNT2',
  'MYL2',
  'TGFB1',
  'ADCY3',
  'ADCY2',
  'ADCY1',
  'ITGB8',
  'TTN',
  'ACTB',
  'ITGA6',
  'TGFB3',
  'ITGA2',
  'ITGA1',
  'CACNG5',
  'CACNG4',
  'PRKACA',
  'PRKACB',
  'PRKACG',
  'GNAS',
  'DES',
  'MYH7',
  'MYH6'],
 'KEGG_DRUG_METABOLISM_CYTOCHROME_P450': ['CYP2E1',
  'CYP3A5',
  'UGT2B28',
  'CYP3A4',
  'GSTP1',
  'GSTT2',
  'GSTT1',
  'GSTZ1',
  'CYP2C18',
  'CYP2D6',
  'ADH1B',
  'FMO4',
  'ADH1C',
  'ADH4',
  'ADH5',
  'GSTO1',
  'ADH1A',
  'GSTA5',
  'MGST2',
  'MGST1',
  'FMO1',
  'FMO2',
  'MGST3',
  'FMO3',
  'GSTA3',
  'GSTM1',
  'UGT2B11',
  'CYP2C9',
  'FMO5',
  'GSTA4',
  'CYP2C19',
  'GSTM4',
  'CYP2C8',
  'GSTM3',
  'CYP2B6',
  'GSTM2',
  'UGT2A3',
  'CYP2A13',
  'UGT1A4',
  'UGT1A1',
  'CYP3A7',
  'UGT1A3',
  'GSTM5',
  'UGT1A10',
  'UGT1A8',
  'UGT1A7',
  'GSTA1',
  'UGT1A6',
  'MAOB',
  'GSTA2',
  'MAOA',
  'AOX1',
  'ALDH3A1',
  'UGT1A5',
  'GSTK1',
  'CYP2A6',
  'CYP2A7',
  'ADH7',
  'CYP1A2',
  'ADH6',
  'UGT2A1',
  'ALDH1A3',
  'ALDH3B1',
  'ALDH3B2',
  'CYP3A43',
  'UGT1A9',
  'GSTO2',
  'UGT2B10',
  'UGT2B7',
  'UGT2B4',
  'UGT2B17',
  'UGT2B15'],
 'KEGG_ARRHYTHMOGENIC_RIGHT_VENTRICULAR_CARDIOMYOPATHY_ARVC': ['CACNA2D1',
  'CACNB1',
  'LOC100418883',
  'CACNB2',
  'CACNB3',
  'CACNB4',
  'CACNG1',
  'ITGA9',
  'CACNG8',
  'RYR2',
  'JUP',
  'LMNA',
  'CACNG6',
  'ATP2A2',
  'CACNG7',
  'ITGA4',
  'ITGA3',
  'ITGA2B',
  'ITGA7',
  'LEF1',
  'ITGA5',
  'EMD',
  'ACTN4',
  'ITGA11',
  'DSC2',
  'DSG2',
  'ACTN1',
  'DMD',
  'CACNA2D3',
  'CACNA1D',
  'SLC8A1',
  'LOC646821',
  'CACNA1C',
  'CACNA1F',
  'ITGB3',
  'CACNA2D2',
  'CACNA1S',
  'ITGB4',
  'ITGB5',
  'ITGB6',
  'ITGB7',
  'ITGAV',
  'ITGB1',
  'TCF7',
  'ACTG1',
  'CACNA2D4',
  'PKP2',
  'CTNNA1',
  'CDH2',
  'TCF7L2',
  'ITGA10',
  'SGCD',
  'SGCG',
  'SGCA',
  'ITGA8',
  'SGCB',
  'CACNG2',
  'CTNNA2',
  'DAG1',
  'CACNG3',
  'CTNNB1',
  'LAMA2',
  'GJA1',
  'ITGB8',
  'ACTB',
  'ITGA6',
  'ITGA2',
  'ITGA1',
  'CACNG5',
  'CACNG4',
  'TCF7L1',
  'DSP',
  'DES',
  'CTNNA3',
  'ACTN2',
  'ACTN3'],
 'KEGG_FC_EPSILON_RI_SIGNALING_PATHWAY': ['SOS2',
  'RAF1',
  'PRKCB',
  'PRKCA',
  'PDPK1',
  'TNF',
  'MAP2K4',
  'PLA2G3',
  'FCER1G',
  'MS4A2',
  'FCER1A',
  'PRKCD',
  'INPP5D',
  'PRKCE',
  'JMJD7-PLA2G4B',
  'MAPK9',
  'MAPK10',
  'PLA2G6',
  'RAC2',
  'IL13',
  'PLA2G2E',
  'PLA2G10',
  'MAPK11',
  'MAP2K2',
  'PLA2G2A',
  'RAC3',
  'MAP2K3',
  'PLA2G4A',
  'MAPK13',
  'PLA2G5',
  'PLA2G12B',
  'MAP2K1',
  'VAV1',
  'MAP2K7',
  'PLA2G4B',
  'MAP2K6',
  'AKT1',
  'PLA2G2F',
  'AKT2',
  'VAV2',
  'AKT3',
  'NRAS',
  'GRB2',
  'MAPK3',
  'RAC1',
  'SOS1',
  'PLA2G1B',
  'MAPK1',
  'CSF2',
  'PIK3R5',
  'HRAS',
  'MAPK8',
  'IL3',
  'MAPK14',
  'MAPK12',
  'GAB2',
  'KRAS',
  'LAT',
  'SYK',
  'PLA2G4E',
  'BTK',
  'PIK3R3',
  'PIK3CA',
  'PIK3CB',
  'LCP2',
  'PIK3CD',
  'PLA2G2C',
  'PLCG1',
  'PLA2G2D',
  'PLCG2',
  'PLA2G12A',
  'IL4',
  'FYN',
  'IL5',
  'PIK3CG',
  'VAV3',
  'LYN',
  'PIK3R1',
  'PIK3R2'],
 'KEGG_PARKINSONS_DISEASE': ['UQCR10',
  'NDUFA5',
  'NDUFA4',
  'COX6CP3',
  'UBE2L6',
  'NDUFS7',
  'CYTB',
  'COX2',
  'ATP5O',
  'COX1',
  'COX8C',
  'COX3',
  'LOC729317',
  'COX5B',
  'COX4I1',
  'ATP6',
  'UCHL1',
  'ATP8',
  'ATP5H',
  'NDUFA2',
  'NDUFA3',
  'NDUFA1',
  'LOC100133737',
  'SNCAIP',
  'APAF1',
  'SEPT5',
  'UBE2G2',
  'UBE2G1',
  'ATP5G1P5',
  'VDAC1',
  'VDAC2',
  'VDAC3',
  'UBE2J2',
  'UQCRQ',
  'ATP5D',
  'UBE2L3',
  'COX7A2L',
  'ATP5G3',
  'ATP5G2',
  'ATP5G1',
  'ATP5F1',
  'ATP5E',
  'COX5A',
  'UBA7',
  'UBA1',
  'SLC25A6',
  'UQCRHL',
  'SLC25A5',
  'ATP5A1',
  'SLC25A4',
  'ATP5J',
  'CYCS',
  'SDHA',
  'SLC18A1',
  'SLC18A2',
  'NDUFA4L2',
  'TH',
  'SLC25A31',
  'CASP9',
  'COX8A',
  'COX7C',
  'LOC642502',
  'PPID',
  'SDHD',
  'SDHB',
  'SDHC',
  'PINK1',
  'COX7B',
  'COX7A1',
  'COX7A2',
  'COX6C',
  'UBE2J1',
  'ATP5B',
  'COX6B1',
  'ATP5C1',
  'LOC644310',
  'UBB',
  'COX7B2',
  'PARK2',
  'CASP3',
  'UQCRB',
  'COX6A2',
  'COX6A1',
  'UQCRH',
  'UQCRFS1',
  'UQCRC2',
  'UQCRC1',
  'NDUFB3',
  'NDUFB1',
  'NDUFB2',
  'NDUFA10',
  'NDUFAB1',
  'ND6',
  'NDUFA9',
  'ND5',
  'NDUFA7',
  'NDUFA8',
  'UQCR11',
  'HTRA2',
  'NDUFA6',
  'NDUFV3',
  'ND4',
  'ND4L',
  'LOC727947',
  'ND2',
  'COX6B2',
  'ND3',
  'COX4I2',
  'ND1',
  'SNCA',
  'NDUFB10',
  'NDUFS8',
  'NDUFC1',
  'NDUFC2',
  'NDUFS1',
  'NDUFV2',
  'NDUFB6',
  'NDUFS4',
  'NDUFB7',
  'NDUFV1',
  'NDUFB8',
  'NDUFS6',
  'NDUFB9',
  'NDUFS5',
  'NDUFS2',
  'NDUFB4',
  'NDUFS3',
  'NDUFB5',
  'PARK7',
  'CYC1',
  'GPR37',
  'SLC6A3',
  'LRRK2'],
 'KEGG_VEGF_SIGNALING_PATHWAY': ['CASP9',
  'RAF1',
  'PRKCB',
  'PRKCA',
  'PPP3R2',
  'PPP3CC',
  'PPP3R1',
  'SH2D2A',
  'PLA2G3',
  'SPHK1',
  'BAD',
  'PRKCG',
  'JMJD7-PLA2G4B',
  'PLA2G6',
  'RAC2',
  'PTK2',
  'PLA2G2E',
  'PLA2G10',
  'NOS3',
  'MAPK11',
  'MAP2K2',
  'PLA2G2A',
  'RAC3',
  'PLA2G4A',
  'PTGS2',
  'PLA2G5',
  'MAPK13',
  'PLA2G12B',
  'MAP2K1',
  'KDR',
  'PLA2G4B',
  'AKT1',
  'PLA2G2F',
  'AKT2',
  'NRAS',
  'AKT3',
  'CHP2',
  'NFAT5',
  'MAPK3',
  'RAC1',
  'PLA2G1B',
  'MAPK1',
  'MAPKAPK3',
  'PIK3R5',
  'HRAS',
  'NFATC4',
  'MAPK14',
  'MAPK12',
  'NFATC3',
  'MAPKAPK2',
  'KRAS',
  'SPHK2',
  'HSPB1',
  'VEGFA',
  'PXN',
  'PLA2G4E',
  'SRC',
  'PIK3R3',
  'PPP3CB',
  'PPP3CA',
  'PIK3CA',
  'PIK3CB',
  'PIK3CD',
  'PLA2G2C',
  'PLCG1',
  'SHC2',
  'PLA2G2D',
  'PLCG2',
  'PLA2G12A',
  'NFATC2',
  'NFATC1',
  'PIK3CG',
  'PIK3R1',
  'CDC42',
  'PIK3R2',
  'CHP'],
 'KEGG_EPITHELIAL_CELL_SIGNALING_IN_HELICOBACTER_PYLORI_INFECTION': ['JUN',
  'JAM3',
  'ATP6V1G1',
  'CHUK',
  'PTPN11',
  'CXCL1',
  'MAP2K4',
  'CCL5',
  'NOD1',
  'ADAM17',
  'ATP6V0A1',
  'ATP6V1G2',
  'ATP6V0B',
  'ATP6V1G3',
  'CXCR2',
  'ATP6AP1',
  'CXCR1',
  'IL8',
  'F11R',
  'MAPK9',
  'MAPK10',
  'MAPK11',
  'MAPK13',
  'IKBKB',
  'ATP6V1F',
  'ATP6V0A4',
  'CASP3',
  'ATP6V0A2',
  'ATP6V0D1',
  'NFKB1',
  'RAC1',
  'NFKBIA',
  'JAM2',
  'IKBKG',
  'MAPK8',
  'MAPK14',
  'MAPK12',
  'EGFR',
  'RELA',
  'ATP6V0E2',
  'ATP6V1H',
  'ATP6V1E2',
  'PTPRZ1',
  'ATP6V0D2',
  'MAP3K14',
  'ATP6V0E1',
  'ATP6V1C2',
  'ADAM10',
  'TJP1',
  'MET',
  'CSK',
  'SRC',
  'TCIRG1',
  'IGSF5',
  'PAK1',
  'GIT1',
  'ATP6V1D',
  'ATP6V1A',
  'PLCG1',
  'PLCG2',
  'HBEGF',
  'ATP6V1E1',
  'ATP6V1B2',
  'LYN',
  'ATP6V1B1',
  'CDC42',
  'ATP6V1C1',
  'ATP6V0C'],
 'KEGG_RENAL_CELL_CARCINOMA': ['JUN',
  'SOS2',
  'PAK3',
  'PTPN11',
  'RAF1',
  'HGF',
  'PAK2',
  'SLC2A1',
  'PAK4',
  'CREBBP',
  'TCEB1',
  'TCEB2',
  'PGF',
  'MAP2K2',
  'TGFA',
  'BRAF',
  'FLCN',
  'MAP2K1',
  'HIF1A',
  'AKT1',
  'ARNT2',
  'AKT2',
  'RAPGEF1',
  'AKT3',
  'NRAS',
  'ARNT',
  'CUL2',
  'GRB2',
  'MAPK3',
  'ETS1',
  'EGLN2',
  'EGLN3',
  'PAK6',
  'RAC1',
  'SOS1',
  'MAPK1',
  'PIK3R5',
  'HRAS',
  'EP300',
  'EPAS1',
  'KRAS',
  'TGFB2',
  'TGFB1',
  'FH',
  'VEGFA',
  'ARAF',
  'VEGFC',
  'VEGFB',
  'RBX1',
  'MET',
  'TGFB3',
  'PAK7',
  'RAP1A',
  'PIK3R3',
  'RAP1B',
  'PDGFB',
  'EGLN1',
  'VHL',
  'PAK1',
  'FIGF',
  'CRK',
  'PIK3CA',
  'PIK3CB',
  'CRKL',
  'PIK3CD',
  'GAB1',
  'PIK3CG',
  'PIK3R1',
  'CDC42',
  'PIK3R2'],
 'KEGG_PROTEIN_EXPORT': ['SRPR',
  'IMMP1L',
  'SRP9P1',
  'SRP9',
  'SRP14',
  'SEC61B',
  'SEC63',
  'SRPRB',
  'SRP19',
  'SRP54',
  'SEC61G',
  'HSPA5',
  'IMMP2L',
  'SEC61A2',
  'OXA1L',
  'SEC11A',
  'SPCS1',
  'SEC11C',
  'SPCS2',
  'SEC62',
  'SPCS3',
  'SEC61A1',
  'SRP72',
  'SRP68'],
 'KEGG_STEROID_BIOSYNTHESIS': ['SOAT1',
  'LSS',
  'SQLE',
  'EBP',
  'CYP51A1',
  'DHCR7',
  'CYP27B1',
  'DHCR24',
  'HSD17B7',
  'MSMO1',
  'FDFT1',
  'SC5DL',
  'LIPA',
  'CEL',
  'TM7SF2',
  'NSDHL',
  'SOAT2'],
 'KEGG_PATHOGENIC_ESCHERICHIA_COLI_INFECTION': ['LOC100418883',
  'TUBA1A',
  'PRKCA',
  'KRT18',
  'WAS',
  'CLDN1',
  'TUBB4A',
  'TUBB4B',
  'TUBB3',
  'RHOA',
  'CTTN',
  'ROCK1',
  'TUBB2A',
  'WASL',
  'LOC646821',
  'LY96',
  'ABL1',
  'TUBA1B',
  'ARPC4',
  'CD14',
  'ARPC5',
  'ITGB1',
  'ARPC1B',
  'ARPC3',
  'ACTG1',
  'ARPC2',
  'NCL',
  'TUBB7P',
  'TUBA3D',
  'NCK1',
  'YWHAQ',
  'TLR5',
  'TUBB2B',
  'TUBAL3',
  'CTNNB1',
  'TUBA3C',
  'TUBB8',
  'TUBA8',
  'TUBA4A',
  'NCK2',
  'TUBA1C',
  'ACTB',
  'LOC653888',
  'ROCK2',
  'TUBB1',
  'HCLS1',
  'EZR',
  'ARHGEF2',
  'ARPC1A',
  'TLR4',
  'TUBB6',
  'ARPC5L',
  'TUBB',
  'YWHAZ',
  'FYN',
  'OCLN',
  'CDC42',
  'CDH1',
  'TUBA3E'],
 'KEGG_GLYCOSAMINOGLYCAN_BIOSYNTHESIS_CHONDROITIN_SULFATE': ['DSE',
  'B3GALT6',
  'CHPF',
  'XYLT1',
  'CHSY3',
  'XYLT2',
  'CHST14',
  'B3GAT1',
  'CHSY1',
  'CHST11',
  'CHPF2',
  'CHST15',
  'B4GALT7',
  'CHST7',
  'UST',
  'CHST13',
  'CSGALNACT2',
  'B3GAT2',
  'CSGALNACT1',
  'CHST3',
  'CHST12',
  'B3GAT3'],
 'KEGG_ABC_TRANSPORTERS': ['ABCA7',
  'ABCG4',
  'ABCD1',
  'ABCC12',
  'ABCA1',
  'TAP2',
  'ABCA6',
  'TAP1',
  'ABCA5',
  'ABCB8',
  'ABCA10',
  'ABCD4',
  'ABCA3',
  'ABCB11',
  'ABCD3',
  'ABCA2',
  'ABCC2',
  'ABCC11',
  'ABCC6',
  'ABCC3',
  'ABCC9',
  'ABCG2',
  'ABCC4',
  'ABCC5',
  'ABCA12',
  'ABCG1',
  'ABCB4',
  'CFTR',
  'ABCB1',
  'ABCC1',
  'ABCD2',
  'ABCB6',
  'ABCB7',
  'ABCA8',
  'ABCA4',
  'ABCC8',
  'ABCC10',
  'ABCB10',
  'ABCB9',
  'ABCA13',
  'ABCA9',
  'ABCB5',
  'ABCG5',
  'ABCG8'],
 'KEGG_APOPTOSIS': ['CASP10',
  'CASP9',
  'CASP8',
  'CASP7',
  'CHUK',
  'PRKAR2B',
  'TNF',
  'TNFSF10',
  'BIRC3',
  'XIAP',
  'PPP3R2',
  'PPP3CC',
  'PPP3R1',
  'MYD88',
  'FADD',
  'CFLAR',
  'RIPK1',
  'BAD',
  'IRAK4',
  'BID',
  'BAX',
  'IKBKB',
  'CASP6',
  'IL1A',
  'AKT1',
  'CASP3',
  'AKT2',
  'TNFRSF1A',
  'AKT3',
  'CHP2',
  'ATM',
  'ENDOG',
  'NFKB1',
  'NFKBIA',
  'CAPN2',
  'PIK3R5',
  'IKBKG',
  'CAPN1',
  'IL3RA',
  'IL3',
  'RELA',
  'ENDOD1',
  'APAF1',
  'PRKX',
  'CSF2RB',
  'TNFRSF10A',
  'TRAF2',
  'TNFRSF10D',
  'NGF',
  'TNFRSF10B',
  'TNFRSF10C',
  'MAP3K14',
  'IL1RAP',
  'IL1B',
  'IRAK2',
  'IL1R1',
  'IRAK1',
  'TRADD',
  'PIK3R3',
  'BCL2',
  'BCL2L1',
  'BIRC2',
  'IRAK3',
  'PRKACA',
  'PRKACB',
  'PRKACG',
  'PPP3CB',
  'TP53',
  'PPP3CA',
  'PIK3CA',
  'PIK3CB',
  'FAS',
  'DFFA',
  'CYCS',
  'DFFB',
  'PIK3CD',
  'LOC651610',
  'PRKAR1A',
  'FASLG',
  'PRKAR2A',
  'PRKAR1B',
  'EXOG',
  'PIK3CG',
  'AIFM1',
  'NTRK1',
  'PIK3R1',
  'PIK3R2',
  'CHP'],
 'KEGG_PANCREATIC_CANCER': ['CASP9',
  'E2F1',
  'STAT3',
  'CHUK',
  'RAF1',
  'ARHGEF6',
  'STAT1',
  'RAD51',
  'BAD',
  'PGF',
  'MAPK9',
  'MAPK10',
  'ERBB2',
  'RAC2',
  'BRCA2',
  'TGFA',
  'BRAF',
  'RAC3',
  'MAP2K1',
  'IKBKB',
  'RB1',
  'JAK1',
  'AKT1',
  'AKT2',
  'AKT3',
  'SMAD3',
  'MAPK3',
  'SMAD4',
  'NFKB1',
  'RAC1',
  'SMAD2',
  'MAPK1',
  'PIK3R5',
  'IKBKG',
  'MAPK8',
  'EGFR',
  'RELA',
  'KRAS',
  'CDKN2A',
  'EGF',
  'TGFB2',
  'TGFB1',
  'VEGFA',
  'ARAF',
  'VEGFC',
  'VEGFB',
  'TGFBR2',
  'TGFBR1',
  'TGFB3',
  'CCND1',
  'PIK3R3',
  'RALB',
  'BCL2L1',
  'RALA',
  'CDK4',
  'FIGF',
  'RALBP1',
  'RALGDS',
  'TP53',
  'E2F3',
  'E2F2',
  'PIK3CA',
  'PIK3CB',
  'CDK6',
  'PIK3CD',
  'PLD1',
  'PIK3CG',
  'PIK3R1',
  'CDC42',
  'PIK3R2'],
 'KEGG_ALDOSTERONE_REGULATED_SODIUM_REABSORPTION': ['PIK3R5',
  'SFN',
  'NR3C2',
  'PRKCB',
  'PRKCA',
  'FXYD4',
  'KRAS',
  'FXYD2',
  'IGF1',
  'SCNN1G',
  'SCNN1B',
  'SCNN1A',
  'ATP1B2',
  'KCNJ1',
  'ATP1B3',
  'ATP1A4',
  'ATP1B1',
  'NEDD4L',
  'INS',
  'PRKCG',
  'PIK3R3',
  'HSD11B2',
  'HSD11B1',
  'SLC9A3R2',
  'PDPK1',
  'ATP1A1',
  'IRS2',
  'ATP1A3',
  'ATP1A2',
  'PIK3CA',
  'PIK3CB',
  'PIK3CD',
  'MAPK3',
  'IRS1',
  'SGK1',
  'ATP1B4',
  'INSR',
  'PIK3CG',
  'IRS4',
  'PIK3R1',
  'PIK3R2',
  'MAPK1'],
 'KEGG_PHENYLALANINE_METABOLISM': ['ALDH1A3',
  'ALDH3B1',
  'ALDH3B2',
  'MAOB',
  'MAOA',
  'HPD',
  'GOT2',
  'AOC2',
  'ALDH3A1',
  'AOC3',
  'PAH',
  'GOT1',
  'PRDX6',
  'TAT',
  'MIF',
  'NAT6',
  'IL4I1',
  'DDC'],
 'KEGG_GAP_JUNCTION': ['PLCB2',
  'GRM5',
  'SOS2',
  'ADCY8',
  'PLCB1',
  'ADCY9',
  'ADCY6',
  'TUBA1A',
  'RAF1',
  'PRKCB',
  'ADCY7',
  'PRKCA',
  'PLCB3',
  'PLCB4',
  'ADCY5',
  'GRM1',
  'CDK1',
  'PDGFD',
  'TUBB4A',
  'ADRB1',
  'TUBB4B',
  'TUBB3',
  'PRKCG',
  'PDGFRB',
  'TUBB2A',
  'MAP2K2',
  'ITPR3',
  'MAP2K1',
  'MAP2K5',
  'LPAR1',
  'ADCY4',
  'TUBA1B',
  'NRAS',
  'GRB2',
  'MAPK3',
  'DRD1',
  'GUCY1B3',
  'DRD2',
  'MAPK7',
  'GUCY1A3',
  'PRKG1',
  'SOS1',
  'TUBB7P',
  'PRKG2',
  'MAPK1',
  'TUBA3D',
  'HRAS',
  'GJD2',
  'CSNK1D',
  'EGFR',
  'TUBB2B',
  'ITPR1',
  'ITPR2',
  'PDGFC',
  'TUBAL3',
  'GNA11',
  'KRAS',
  'EGF',
  'PRKX',
  'GJA1',
  'GNAI1',
  'HTR2A',
  'TUBA3C',
  'GNAI2',
  'GUCY1A2',
  'HTR2C',
  'HTR2B',
  'TUBB8',
  'TUBA8',
  'ADCY3',
  'TUBA4A',
  'ADCY2',
  'ADCY1',
  'TUBA1C',
  'TJP1',
  'TUBB1',
  'SRC',
  'PDGFA',
  'PDGFB',
  'PDGFRA',
  'PRKACA',
  'PRKACB',
  'GNAQ',
  'PRKACG',
  'GNAS',
  'GNAI3',
  'TUBB6',
  'TUBB',
  'MAP3K2',
  'TUBA3E'],
 'KEGG_RIBOFLAVIN_METABOLISM': ['ACPT',
  'ENPP3',
  'ENPP1',
  'ACP6',
  'RFK',
  'ACPP',
  'FLAD1',
  'TYR',
  'MTMR7',
  'MTMR6',
  'PHPT1',
  'MTMR1',
  'ACP1',
  'ACP2',
  'ACP5',
  'MTMR2'],
 'KEGG_RENIN_ANGIOTENSIN_SYSTEM': ['LNPEP',
  'ACE2',
  'REN',
  'ANPEP',
  'CMA1',
  'CTSA',
  'CTSG',
  'THOP1',
  'AGT',
  'AGTR1',
  'ACE',
  'AGTR2',
  'NLN',
  'ENPEP',
  'CPA3',
  'MAS1',
  'MME'],
 'KEGG_LEISHMANIA_INFECTION': ['JUN',
  'HLA-DOA',
  'HLA-DOB',
  'PRKCB',
  'STAT1',
  'ELK1',
  'TNF',
  'ITGAM',
  'ITGA4',
  'MYD88',
  'FCGR2C',
  'FCGR1A',
  'HLA-DMB',
  'HLA-DMA',
  'PTPN6',
  'IRAK4',
  'IL12B',
  'MAPK11',
  'NCF4',
  'NCF2',
  'PTGS2',
  'MAPK13',
  'IL12A',
  'NOS2',
  'MAP3K7',
  'IL1A',
  'JAK1',
  'JAK2',
  'ITGB1',
  'ITGB2',
  'CR1',
  'MAPK3',
  'FCGR3B',
  'NFKB1',
  'FCGR2A',
  'IL10',
  'NFKBIB',
  'NFKBIA',
  'FCGR3A',
  'MARCKSL1',
  'MAPK1',
  'HLA-DRB4',
  'HLA-DRB5',
  'HLA-DRB3',
  'MAPK14',
  'MAPK12',
  'RELA',
  'IFNGR2',
  'TRAF6',
  'TGFB2',
  'TGFB1',
  'IFNG',
  'IFNGR1',
  'TAB2',
  'IL1B',
  'IRAK1',
  'TGFB3',
  'HLA-DPA1',
  'HLA-DPB1',
  'HLA-DQA1',
  'HLA-DQA2',
  'HLA-DQB1',
  'C3',
  'NCF1',
  'TLR4',
  'TAB1',
  'IL4',
  'TLR2',
  'FOS',
  'CYBA',
  'HLA-DRB1',
  'HLA-DRA'],
 'KEGG_LONG_TERM_DEPRESSION': ['GRM5',
  'PLCB2',
  'RYR1',
  'PLCB1',
  'RAF1',
  'PRKCB',
  'PRKCA',
  'PLCB3',
  'PLCB4',
  'IGF1',
  'CRHR1',
  'GRM1',
  'CRH',
  'IGF1R',
  'PLA2G3',
  'GRID2',
  'PRKCG',
  'JMJD7-PLA2G4B',
  'CACNA1A',
  'PLA2G6',
  'PLA2G2E',
  'PLA2G10',
  'MAP2K2',
  'PLA2G2A',
  'BRAF',
  'PLA2G4A',
  'ITPR3',
  'PLA2G5',
  'PLA2G12B',
  'MAP2K1',
  'NOS1',
  'GRIA3',
  'GRIA2',
  'GRIA1',
  'PLA2G4B',
  'PLA2G2F',
  'NRAS',
  'MAPK3',
  'GUCY1B3',
  'GUCY1A3',
  'PRKG1',
  'PRKG2',
  'MAPK1',
  'PLA2G1B',
  'HRAS',
  'ITPR1',
  'ITPR2',
  'GNA12',
  'GNA13',
  'GNA11',
  'KRAS',
  'GNAI1',
  'GNAI2',
  'GUCY1A2',
  'PPP2CB',
  'ARAF',
  'PPP2CA',
  'PPP2R1A',
  'PPP2R1B',
  'PLA2G4E',
  'GNAQ',
  'GNAS',
  'PPP1R17',
  'GNAI3',
  'GNAO1',
  'GNAZ',
  'PLA2G2C',
  'PLA2G2D',
  'PLA2G12A',
  'LYN'],
 'KEGG_AMYOTROPHIC_LATERAL_SCLEROSIS_ALS': ['CASP9',
  'TNF',
  'CAT',
  'PPP3R2',
  'PPP3CC',
  'PPP3R1',
  'ALS2',
  'BAD',
  'CCS',
  'MAP3K5',
  'TOMM40L',
  'GRIN1',
  'GRIN2A',
  'MAPK11',
  'GRIN2B',
  'SOD1',
  'GRIN2C',
  'BID',
  'GRIN2D',
  'MAP2K3',
  'MAPK13',
  'NOS1',
  'BAX',
  'NEFM',
  'GRIA2',
  'SLC1A2',
  'NEFH',
  'GRIA1',
  'MAP2K6',
  'TNFRSF1B',
  'CASP1',
  'CASP3',
  'NEFL',
  'TNFRSF1A',
  'DAXX',
  'CHP2',
  'RAC1',
  'MAPK14',
  'MAPK12',
  'APAF1',
  'GPX1',
  'RAB5A',
  'BCL2',
  'BCL2L1',
  'PRPH2',
  'PPP3CB',
  'TP53',
  'PPP3CA',
  'PRPH',
  'DERL1',
  'CYCS',
  'TOMM40',
  'CHP'],
 'KEGG_TASTE_TRANSDUCTION': ['TAS2R60',
  'GRM4',
  'PLCB2',
  'ADCY8',
  'ADCY6',
  'TAS2R42',
  'TAS1R2',
  'TAS1R1',
  'TRPM5',
  'ACCN1',
  'PDE1A',
  'CACNA1A',
  'ITPR3',
  'CACNA1B',
  'TAS2R5',
  'ADCY4',
  'GNAT3',
  'GNG13',
  'TAS2R3',
  'TAS2R9',
  'TAS1R3',
  'TAS2R1',
  'KCNB1',
  'TAS2R16',
  'TAS2R4',
  'SCNN1G',
  'GNB3',
  'PRKX',
  'GNG3',
  'SCNN1B',
  'SCNN1A',
  'TAS2R43',
  'TAS2R40',
  'TAS2R41',
  'TAS2R39',
  'TAS2R14',
  'PRKACA',
  'PRKACB',
  'PRKACG',
  'GNAS',
  'TAS2R38',
  'GNB1',
  'TAS2R20',
  'TAS2R50',
  'TAS2R45',
  'TAS2R8',
  'TAS2R46',
  'TAS2R7',
  'TAS2R13',
  'TAS2R19',
  'TAS2R10',
  'TAS2R31'],
 'KEGG_AMINOACYL_TRNA_BIOSYNTHESIS': ['CARS2',
  'DARS2',
  'RARS',
  'SARS',
  'VARS2',
  'YARS2',
  'WARS',
  'AARS',
  'FARSA',
  'HARS',
  'SARS2',
  'RARS2',
  'NARS',
  'LARS2',
  'FARSB',
  'AARS2',
  'YARS',
  'NARS2',
  'GARS',
  'IARS2',
  'KARS',
  'WARS2',
  'TARSL2',
  'LARS',
  'VARS',
  'PARS2',
  'MARS2',
  'CARS',
  'IARS',
  'TARS2',
  'SEPSECS',
  'MTFMT',
  'TARS',
  'DARS',
  'HARS2',
  'PSTK',
  'QARS',
  'EARS2',
  'EPRS',
  'FARS2',
  'MARS'],
 'KEGG_LYSINE_DEGRADATION': ['SUV39H2',
  'AASDHPPT',
  'DLST',
  'ALDH1B1',
  'AASDH',
  'ALDH2',
  'ACAT2',
  'PLOD2',
  'PLOD1',
  'TMLHE',
  'EHMT2',
  'ACAT1',
  'SETD8',
  'HADH',
  'SETMAR',
  'OGDH',
  'HADHA',
  'BBOX1',
  'AASS',
  'ECHS1',
  'ALDH9A1',
  'ALDH3A2',
  'SUV420H1',
  'SUV39H1',
  'ASH1L',
  'SETD1B',
  'DOT1L',
  'WHSC1',
  'EHHADH',
  'OGDHL',
  'SETD1A',
  'GCDH',
  'SUV420H2',
  'SETD7',
  'ALDH7A1',
  'WHSC1L1',
  'EHMT1',
  'SETDB1',
  'AADAT',
  'SETD2',
  'SETDB2',
  'PLOD3',
  'NSD1',
  'PIPOX'],
 'KEGG_OXIDATIVE_PHOSPHORYLATION': ['ATP6V1G1',
  'UQCR10',
  'NDUFA5',
  'NDUFA4',
  'COX6CP3',
  'PPA2',
  'ATP5J2',
  'NDUFS7',
  'CYTB',
  'ATP6V0A1',
  'ATP6V1G2',
  'ATP6V0B',
  'ATP5O',
  'COX2',
  'COX1',
  'ATP6AP1',
  'COX8C',
  'COX3',
  'COX5B',
  'COX4I1',
  'ATP6V0A4',
  'ATP12A',
  'ATP6',
  'ATP8',
  'ATP5H',
  'NDUFA2',
  'NDUFA3',
  'NDUFA1',
  'LOC100133737',
  'ATP5G1P5',
  'UQCRQ',
  'ATP6V1H',
  'ATP5D',
  'LHPP',
  'ATP6V0D2',
  'COX7A2L',
  'ATP5G3',
  'ATP6V1C2',
  'ATP5G2',
  'ATP5G1',
  'ATP5F1',
  'ATP5E',
  'COX5A',
  'TCIRG1',
  'UQCRHL',
  'ATP4B',
  'ATP6V1D',
  'ATP4A',
  'ATP5A1',
  'ATP5J',
  'ATP5I',
  'SDHA',
  'ATP6V1A',
  'ATP6V1E1',
  'NDUFA4L2',
  'ATP6V1B2',
  'ATP6V1B1',
  'ATP6V1C1',
  'ATP6V0C',
  'COX10',
  'COX8A',
  'COX7C',
  'LOC642502',
  'SDHD',
  'SDHB',
  'SDHC',
  'ATP6V1G3',
  'COX7B',
  'COX7A1',
  'COX7A2',
  'COX6C',
  'COX17',
  'ATP5B',
  'COX6B1',
  'ATP5C1',
  'LOC644310',
  'ATP6V1F',
  'COX7B2',
  'ATP6V0A2',
  'UQCRB',
  'ATP6V0D1',
  'COX6A2',
  'COX6A1',
  'UQCRH',
  'UQCRFS1',
  'UQCRC2',
  'UQCRC1',
  'NDUFB3',
  'NDUFB1',
  'NDUFB2',
  'NDUFA10',
  'NDUFAB1',
  'ATP6V0E2',
  'ND6',
  'NDUFA9',
  'ND5',
  'NDUFA7',
  'NDUFA8',
  'UQCR11',
  'NDUFA6',
  'NDUFV3',
  'ATP6V1E2',
  'ND4',
  'ND4L',
  'LOC727947',
  'ND2',
  'COX6B2',
  'PPA1',
  'ND3',
  'COX4I2',
  'ND1',
  'ATP5L',
  'ATP6V0E1',
  'NDUFA11',
  'NDUFB10',
  'NDUFS8',
  'NDUFC1',
  'NDUFC2',
  'NDUFS1',
  'NDUFV2',
  'NDUFB6',
  'NDUFS4',
  'NDUFB7',
  'NDUFV1',
  'NDUFB8',
  'NDUFS6',
  'NDUFB9',
  'NDUFS5',
  'NDUFS2',
  'NDUFB4',
  'NDUFS3',
  'NDUFB5',
  'CYC1',
  'COX11',
  'COX15'],
 'KEGG_MELANOMA': ['E2F1',
  'RAF1',
  'FGF9',
  'HGF',
  'FGF8',
  'FGF7',
  'IGF1',
  'FGF6',
  'FGF5',
  'PDGFD',
  'IGF1R',
  'FGF3',
  'FGF4',
  'FGF1',
  'FGF2',
  'FGF21',
  'BAD',
  'PDGFRB',
  'MAP2K2',
  'BRAF',
  'MAP2K1',
  'MDM2',
  'RB1',
  'AKT1',
  'AKT2',
  'FGFR1',
  'FGF14',
  'FGF17',
  'FGF16',
  'AKT3',
  'NRAS',
  'FGF10',
  'FGF11',
  'FGF12',
  'FGF13',
  'MAPK3',
  'FGF19',
  'MAPK1',
  'PIK3R5',
  'FGF20',
  'HRAS',
  'EGFR',
  'PDGFC',
  'CDKN2A',
  'KRAS',
  'CDKN1A',
  'EGF',
  'FGF23',
  'FGF18',
  'ARAF',
  'MET',
  'CCND1',
  'PTEN',
  'PIK3R3',
  'PDGFA',
  'FGF22',
  'PDGFB',
  'PDGFRA',
  'CDK4',
  'TP53',
  'E2F3',
  'E2F2',
  'PIK3CA',
  'PIK3CB',
  'CDK6',
  'PIK3CD',
  'MITF',
  'PIK3CG',
  'PIK3R1',
  'PIK3R2',
  'CDH1'],
 'KEGG_NON_HOMOLOGOUS_END_JOINING': ['XRCC4',
  'MRE11A',
  'POLL',
  'POLM',
  'LOC731751',
  'NHEJ1',
  'LIG4',
  'FEN1',
  'DNTT',
  'XRCC5',
  'RAD50',
  'XRCC6',
  'PRKDC',
  'DCLRE1C'],
 'KEGG_WNT_SIGNALING_PATHWAY': ['JUN',
  'LRP5',
  'LRP6',
  'PPP3R2',
  'SFRP2',
  'SFRP1',
  'PPP3CC',
  'VANGL1',
  'PPP3R1',
  'FZD1',
  'FZD4',
  'APC2',
  'FZD6',
  'FZD7',
  'SENP2',
  'FZD8',
  'LEF1',
  'CREBBP',
  'FZD9',
  'PRICKLE1',
  'CTBP2',
  'ROCK1',
  'CTBP1',
  'WNT9B',
  'WNT9A',
  'CTNNBIP1',
  'DAAM2',
  'TBL1XR1',
  'MMP7',
  'CER1',
  'MAP3K7',
  'VANGL2',
  'WNT2B',
  'WNT11',
  'WNT10B',
  'DKK2',
  'LOC728622',
  'CHP2',
  'AXIN1',
  'AXIN2',
  'DKK4',
  'NFAT5',
  'MYC',
  'SOX17',
  'CSNK2A1',
  'CSNK2A2',
  'NFATC4',
  'CSNK1A1',
  'NFATC3',
  'CSNK1E',
  'BTRC',
  'PRKX',
  'SKP1',
  'FBXW11',
  'RBX1',
  'CSNK2B',
  'SIAH1',
  'TBL1Y',
  'WNT5B',
  'CCND1',
  'CAMK2A',
  'NLK',
  'CAMK2B',
  'CAMK2D',
  'CAMK2G',
  'PRKACA',
  'APC',
  'PRKACB',
  'PRKACG',
  'WNT16',
  'DAAM1',
  'CHD8',
  'FRAT1',
  'CACYBP',
  'CCND2',
  'NFATC2',
  'NFATC1',
  'CCND3',
  'PLCB2',
  'PLCB1',
  'CSNK1A1L',
  'PRKCB',
  'PLCB3',
  'PRKCA',
  'PLCB4',
  'WIF1',
  'PRICKLE2',
  'PORCN',
  'RHOA',
  'FRAT2',
  'PRKCG',
  'MAPK9',
  'MAPK10',
  'WNT3A',
  'DVL3',
  'RAC2',
  'DVL2',
  'RAC3',
  'FZD3',
  'DKK1',
  'CXXC4',
  'DVL1',
  'FOSL1',
  'CUL1',
  'WNT10A',
  'WNT4',
  'SMAD3',
  'TCF7',
  'SMAD4',
  'RAC1',
  'TCF7L2',
  'SMAD2',
  'WNT1',
  'MAPK8',
  'EP300',
  'WNT7A',
  'GSK3B',
  'WNT7B',
  'PSEN1',
  'WNT8A',
  'WNT8B',
  'WNT2',
  'WNT3',
  'WNT5A',
  'WNT6',
  'CTNNB1',
  'PPP2CB',
  'PPP2CA',
  'PPP2R1A',
  'TBL1X',
  'PPP2R1B',
  'ROCK2',
  'NKD1',
  'FZD10',
  'FZD5',
  'NKD2',
  'TCF7L1',
  'RUVBL1',
  'PPARD',
  'PPP3CB',
  'TP53',
  'PPP3CA',
  'PPP2R5A',
  'PPP2R5E',
  'PPP2R5D',
  'PPP2R5C',
  'PPP2R5B',
  'FZD2',
  'SFRP5',
  'SFRP4',
  'CHP'],
 'KEGG_CYTOKINE_CYTOKINE_RECEPTOR_INTERACTION': ['CCL26',
  'TNFSF13',
  'HGF',
  'CCL3L1',
  'TNFSF12',
  'TNFRSF8',
  'TNFSF10',
  'CCL2',
  'TNFSF8',
  'TNFSF9',
  'CCL3',
  'TNFSF14',
  'IL21R',
  'CCL5',
  'CCL4',
  'CCL13',
  'IL17RB',
  'CCL11',
  'CCL8',
  'CCL7',
  'TNFRSF17',
  'TNFSF11',
  'IL23A',
  'CTF1',
  'FLT1',
  'CCL14',
  'FLT3',
  'CCL15',
  'FLT3LG',
  'FLT4',
  'IL22',
  'CD27',
  'CCL18',
  'CCL17',
  'CCL20',
  'CCL19',
  'CCL21',
  'CCL23',
  'CCL22',
  'TPO',
  'CCL16',
  'CSF2',
  'CSF1R',
  'TNFRSF13C',
  'IL13RA1',
  'CSF1',
  'PRLR',
  'PRL',
  'TNFRSF14',
  'IFNE',
  'CCL24',
  'CSF2RB',
  'CSF2RA',
  'TGFB2',
  'TGFB1',
  'CX3CL1',
  'IL23R',
  'XCL1',
  'CXCL5',
  'CXCL11',
  'CXCL6',
  'CCR2',
  'CCL25',
  'CSF3',
  'TGFBR2',
  'TGFBR1',
  'MET',
  'TGFB3',
  'CXCR3',
  'CSF3R',
  'CLCF1',
  'IL17B',
  'CXCL12',
  'CCR10',
  'OSMR',
  'CCL4L2',
  'XCR1',
  'IL20',
  'INHBE',
  'PLEKHO2',
  'CXCL10',
  'MPL',
  'CCL27',
  'INHBB',
  'INHBC',
  'IL28RA',
  'INHBA',
  'KITLG',
  'TNFRSF19',
  'CXCR4',
  'IL1R2',
  'KIT',
  'CD70',
  'TNFRSF11B',
  'LEPR',
  'CXCR6',
  'RELT',
  'LEP',
  'IL19',
  'LTA',
  'IL17A',
  'IL18',
  'TNFRSF9',
  'OSM',
  'GDF5',
  'IL15RA',
  'IL15',
  'CXCL13',
  'LTB',
  'TNFRSF25',
  'LTBR',
  'IL22RA1',
  'CD40LG',
  'CD40',
  'PPBPL1',
  'GHR',
  'IL18RAP',
  'CXCL9',
  'IL17RA',
  'GH1',
  'LIF',
  'GH2',
  'LIFR',
  'IL18R1',
  'TNFSF4',
  'TNFRSF4',
  'CX3CR1',
  'CCL3L3',
  'PDGFRB',
  'EDA',
  'CXCL14',
  'IL1A',
  'EDAR',
  'IL24',
  'CNTF',
  'CNTFR',
  'LOC652799',
  'TNFSF13B',
  'PDGFC',
  'VEGFA',
  'VEGFC',
  'VEGFB',
  'CCR9',
  'NGFR',
  'IL22RA2',
  'PDGFA',
  'ACVRL1',
  'PDGFB',
  'CCL4L1',
  'ACVR2B',
  'PDGFRA',
  'ACVR2A',
  'ACVR1B',
  'ACVR1',
  'FIGF',
  'TNFRSF13B',
  'IL25',
  'TNFSF15',
  'EPO',
  'IL9R',
  'CXCL1',
  'TNF',
  'CXCR5',
  'IFNA5',
  'IFNA4',
  'IFNA2',
  'TNFRSF6B',
  'IFNA1',
  'CXCR2',
  'CXCR1',
  'IL9',
  'CCL28',
  'IL7R',
  'IL8',
  'IL12RB1',
  'IL12B',
  'IL13',
  'IL12RB2',
  'IL11RA',
  'IL12A',
  'KDR',
  'TNFRSF1B',
  'IFNA17',
  'TNFRSF1A',
  'IFNA21',
  'TNFRSF18',
  'IFNA6',
  'CCR3',
  'TNFRSF12A',
  'IFNA7',
  'CCR4',
  'IFNA8',
  'CCR5',
  'IFNA10',
  'CCR6',
  'IFNA13',
  'CCR7',
  'IFNA14',
  'CCR8',
  'IFNA16',
  'IL26',
  'CXCL16',
  'IL10',
  'EDA2R',
  'IL10RA',
  'IL10RB',
  'EPOR',
  'IL11',
  'IL3RA',
  'IL3',
  'IL2RG',
  'EGFR',
  'IL2RB',
  'CCR1',
  'XCL2',
  'IFNGR2',
  'EGF',
  'CCL1',
  'TNFRSF10A',
  'IFNG',
  'IFNGR1',
  'TNFRSF10D',
  'IFNB1',
  'TNFRSF11A',
  'TNFRSF10B',
  'IFNAR1',
  'TNFRSF10C',
  'IFNAR2',
  'IL1RAP',
  'IL1B',
  'AMHR2',
  'IL1R1',
  'AMH',
  'IL2RA',
  'IL20RB',
  'IL21',
  'TNFSF18',
  'IL2',
  'IL20RA',
  'BMPR2',
  'BMPR1A',
  'IL6R',
  'BMPR1B',
  'CRLF2',
  'IL6ST',
  'IFNK',
  'IL7',
  'PF4',
  'CXCL2',
  'CXCL3',
  'BMP2',
  'PF4V1',
  'BMP7',
  'IL28B',
  'IL29',
  'TNFRSF21',
  'FAS',
  'IL28A',
  'FASLG',
  'IFNW1',
  'PPBP',
  'TSLP',
  'IL4',
  'IL4R',
  'IL5',
  'IL5RA',
  'IL6'],
 'KEGG_TAURINE_AND_HYPOTAURINE_METABOLISM': ['GGT7',
  'CSAD',
  'GGT5',
  'GGT1',
  'GAD1',
  'BAAT',
  'GAD2',
  'GGT6',
  'CDO1',
  'ADO'],
 'KEGG_NEUROACTIVE_LIGAND_RECEPTOR_INTERACTION': ['PTGFR',
  'PTGER2',
  'PTGER1',
  'PTGER4',
  'PTGER3',
  'CALCRL',
  'TACR3',
  'PTGIR',
  'ADRB3',
  'ADRB2',
  'HRH4',
  'ADRA2C',
  'ADRB1',
  'TACR1',
  'ADRA2A',
  'ADRA2B',
  'TACR2',
  'GPR35',
  'THRB',
  'THRA',
  'PTH2R',
  'PTH1R',
  'PRSS3',
  'PRSS2',
  'NPY5R',
  'PRSS1',
  'CGA',
  'NPY1R',
  'NPY2R',
  'RXFP1',
  'MCHR1',
  'LPAR4',
  'DRD1',
  'DRD2',
  'DRD3',
  'DRD4',
  'DRD5',
  'TRHR',
  'NMUR2',
  'SSTR2',
  'SSTR3',
  'SSTR1',
  'PRLR',
  'PRL',
  'C5AR1',
  'UTS2R',
  'BDKRB1',
  'BDKRB2',
  'NPBWR2',
  'NPBWR1',
  'PRLHR',
  'CSH1',
  'NPFFR2',
  'TAAR6',
  'NTSR2',
  'APLNR',
  'NMUR1',
  'GPR83',
  'GABRQ',
  'PLG',
  'C3AR1',
  'AGTR1',
  'GALR1',
  'AGTR2',
  'SSTR5',
  'SSTR4',
  'ADCYAP1R1',
  'TSHR',
  'GRIK1',
  'TSHB',
  'GRIK2',
  'GRIK3',
  'GRIA4',
  'GRID1',
  'GRID2',
  'MC1R',
  'TSPO',
  'S1PR5',
  'MC3R',
  'MC2R',
  'GABRR2',
  'GRIA3',
  'TRPV1',
  'GRIA2',
  'GRIA1',
  'MTNR1A',
  'LEPR',
  'MTNR1B',
  'LEP',
  'MC4R',
  'GABRD',
  'MC5R',
  'GABRE',
  'GABRG1',
  'GABRG2',
  'GABRG3',
  'GABRP',
  'GABRR1',
  'GABRB3',
  'ADORA1',
  'GABRB2',
  'ADORA2A',
  'GABRB1',
  'FPR3',
  'FPR2',
  'FPR1',
  'ADORA2B',
  'HTR4',
  'HTR5A',
  'HTR6',
  'HTR7',
  'HTR2A',
  'GALR3',
  'HTR1F',
  'HTR2C',
  'OPRL1',
  'GIPR',
  'HTR2B',
  'OPRM1',
  'GALR2',
  'OPRD1',
  'OPRK1',
  'GABRA5',
  'GABRA6',
  'AVPR2',
  'GABRA3',
  'GABRA4',
  'AVPR1A',
  'GABRA1',
  'AVPR1B',
  'GABRA2',
  'HRH2',
  'PTGDR',
  'GABBR1',
  'ADRA1D',
  'ADRA1B',
  'ADRA1A',
  'GHR',
  'FSHB',
  'LPAR3',
  'GHRHR',
  'PTAFR',
  'GHSR',
  'MLNR',
  'LHB',
  'FSHR',
  'LHCGR',
  'GH1',
  'GH2',
  'ADORA3',
  'GRIN3A',
  'HRH1',
  'GRIN3B',
  'MAS1',
  'F2',
  'F2R',
  'GCGR',
  'CRHR2',
  'P2RY10',
  'GLRA2',
  'OXTR',
  'GLRA1',
  'GLP1R',
  'GLP2R',
  'CRHR1',
  'GPR50',
  'P2RX4',
  'P2RX5',
  'P2RX1',
  'GLRB',
  'P2RX3',
  'PPYR1',
  'CCKAR',
  'BRS3',
  'F2RL1',
  'TAAR1',
  'CCKBR',
  'MCHR2',
  'F2RL2',
  'NTSR1',
  'NMBR',
  'TAAR9',
  'LPAR6',
  'P2RY4',
  'P2RY6',
  'S1PR1',
  'P2RY11',
  'LPAR1',
  'S1PR3',
  'RXFP2',
  'EDNRA',
  'HTR1D',
  'P2RY1',
  'HTR1B',
  'P2RX7',
  'HTR1E',
  'CTSG',
  'P2RY2',
  'HTR1A',
  'GZMA',
  'EDNRB',
  'CHRM1',
  'CHRNA10',
  'CHRM2',
  'CHRM4',
  'CHRM3',
  'LTB4R2',
  'TAAR8',
  'CNR2',
  'CNR1',
  'CYSLTR1',
  'CALCR',
  'GNRHR',
  'GABBR2',
  'TAAR5',
  'LPAR2',
  'VIPR2',
  'VIPR1',
  'GPR156',
  'TAAR2',
  'GRM4',
  'GRM5',
  'GRM2',
  'KISS1R',
  'GRM3',
  'GRM8',
  'CHRNG',
  'CHRNE',
  'GRM6',
  'CHRND',
  'HRH3',
  'GRM7',
  'GRM1',
  'CHRNA9',
  'F2RL3',
  'CHRNA6',
  'CHRNA5',
  'GRIK5',
  'CHRNA4',
  'GRIN1',
  'GRIN2A',
  'CHRNA7',
  'GRIN2B',
  'CHRNA1',
  'GRIN2C',
  'CHRM5',
  'GRIN2D',
  'CHRNA3',
  'CHRNA2',
  'NR3C1',
  'S1PR2',
  'LTB4R',
  'GRIK4',
  'P2RY8',
  'CHRNB1',
  'CHRNB2',
  'CHRNB3',
  'CHRNB4',
  'P2RX2',
  'S1PR4',
  'P2RY13',
  'SCTR',
  'P2RX6',
  'P2RY14',
  'NPFFR1',
  'GRPR',
  'GLRA3',
  'CYSLTR2',
  'TBXA2R',
  'PARD3',
  'HCRTR1',
  'HCRTR2'],
 'KEGG_BASAL_CELL_CARCINOMA': ['HHIP',
  'FZD1',
  'APC2',
  'FZD4',
  'FZD6',
  'PTCH2',
  'FZD7',
  'FZD8',
  'LEF1',
  'FZD9',
  'WNT3A',
  'DVL3',
  'WNT9B',
  'DVL2',
  'WNT9A',
  'FZD3',
  'DVL1',
  'WNT2B',
  'WNT11',
  'WNT10B',
  'SMO',
  'AXIN1',
  'WNT4',
  'WNT10A',
  'AXIN2',
  'TCF7',
  'TCF7L2',
  'SHH',
  'WNT1',
  'GSK3B',
  'WNT7A',
  'WNT7B',
  'WNT8A',
  'WNT8B',
  'WNT2',
  'WNT3',
  'WNT5A',
  'CTNNB1',
  'WNT6',
  'STK36',
  'FZD10',
  'WNT5B',
  'FZD5',
  'GLI1',
  'TCF7L1',
  'BMP4',
  'SUFU',
  'APC',
  'BMP2',
  'GLI2',
  'PTCH1',
  'GLI3',
  'WNT16',
  'TP53',
  'FZD2'],
 'KEGG_ANTIGEN_PROCESSING_AND_PRESENTATION': ['HLA-DOA',
  'HLA-DOB',
  'KLRC3',
  'KLRD1',
  'KLRC1',
  'KLRC2',
  'RFXAP',
  'RFX5',
  'IFNA5',
  'IFNA4',
  'IFNA2',
  'IFNA1',
  'LGMN',
  'PSME3',
  'CTSS',
  'HLA-C',
  'HLA-B',
  'HLA-DMB',
  'HLA-DMA',
  'HLA-A',
  'HSPA1L',
  'HSPA1B',
  'HSPA2',
  'KIR2DS5',
  'HLA-G',
  'KIR3DL1',
  'KIR3DL2',
  'HSPA1A',
  'RFXANK',
  'CREB1',
  'IFNA17',
  'HSPA5',
  'CD74',
  'HSPA4',
  'IFNA21',
  'CTSL1',
  'IFNA6',
  'IFI30',
  'IFNA7',
  'IFNA8',
  'IFNA10',
  'IFNA13',
  'CIITA',
  'IFNA14',
  'IFNA16',
  'KIR2DL5A',
  'HSPA6',
  'HLA-DRB4',
  'CD4',
  'KIR2DL1',
  'HLA-DRB5',
  'LTA',
  'KIR3DL3',
  'HLA-DRB3',
  'TAP2',
  'KIR2DS4',
  'TAPBP',
  'CD8A',
  'CD8B',
  'TAP1',
  'KIR2DS3',
  'HSPA8',
  'KIR2DL4',
  'CANX',
  'KIR2DS1',
  'KIR2DL2',
  'KIR2DL3',
  'KLRC4',
  'LOC652614',
  'NFYC',
  'HSP90AA1',
  'NFYA',
  'NFYB',
  'HLA-F',
  'CTSB',
  'HLA-E',
  'CALR',
  'HLA-DPA1',
  'HLA-DPB1',
  'HLA-DQA1',
  'PDIA3',
  'HLA-DQA2',
  'HLA-DQB1',
  'PSME1',
  'PSME2',
  'HSP90AB1',
  'B2M',
  'HLA-DRB1',
  'HLA-DRA'],
 'KEGG_VALINE_LEUCINE_AND_ISOLEUCINE_BIOSYNTHESIS': ['PDHB',
  'VARS2',
  'IARS2',
  'PDHA1',
  'PDHA2',
  'LARS',
  'LARS2',
  'VARS',
  'BCAT1',
  'BCAT2',
  'IARS'],
 'KEGG_O_GLYCAN_BIOSYNTHESIS': ['GALNT4',
  'GALNTL2',
  'GALNTL5',
  'GALNT6',
  'GALNT5',
  'GALNTL1',
  'GALNTL6',
  'GALNT13',
  'GCNT3',
  'GALNT10',
  'ST6GALNAC1',
  'GALNT9',
  'GALNT7',
  'GCNT4',
  'GALNT11',
  'GCNT1',
  'GALNT8',
  'GALNT14',
  'B3GNT6',
  'C1GALT1',
  'GALNTL4',
  'GALNT12',
  'GALNT2',
  'GALNT3',
  'WBSCR17',
  'GALNT1',
  'ST3GAL2',
  'ST3GAL1',
  'B4GALT5',
  'C1GALT1C1'],
 'KEGG_NITROGEN_METABOLISM': ['CA5A',
  'CA5B',
  'CA6',
  'CA12',
  'CA7',
  'GLUD2',
  'CA2',
  'CPS1',
  'CA3',
  'CA4',
  'GLS2',
  'GLUL',
  'CA8',
  'CA14',
  'GLUD1',
  'CA9',
  'CA1',
  'GLS',
  'AMT',
  'HAL',
  'ASNS',
  'CA13',
  'CTH'],
 'KEGG_DRUG_METABOLISM_OTHER_ENZYMES': ['XDH',
  'CYP3A5',
  'UGT2B28',
  'UPB1',
  'CYP3A4',
  'GMPS',
  'UPP2',
  'HPRT1',
  'CDA',
  'GUSB',
  'IMPDH1',
  'IMPDH2',
  'CES2',
  'UCKL1',
  'UGT2B11',
  'TPMT',
  'NAT1',
  'CES5A',
  'CYP2A13',
  'UGT2A3',
  'UGT1A4',
  'CYP3A7',
  'UGT1A1',
  'UGT1A3',
  'UGT1A10',
  'UGT1A8',
  'UGT1A7',
  'ITPA',
  'UGT1A6',
  'UGT1A5',
  'CYP2A6',
  'CYP2A7',
  'DPYS',
  'TYMP',
  'DPYD',
  'UMPS',
  'UCK2',
  'TK1',
  'TK2',
  'UPP1',
  'UGT2A1',
  'CYP3A43',
  'CES1',
  'UGT1A9',
  'NAT2',
  'UGT2B10',
  'UGT2B7',
  'UGT2B4',
  'UCK1',
  'UGT2B17',
  'UGT2B15'],
 'KEGG_HISTIDINE_METABOLISM': ['CNDP1',
  'MAOB',
  'MAOA',
  'ALDH1B1',
  'ALDH2',
  'METTL6',
  'ALDH3A1',
  'WBSCR22',
  'HAL',
  'HNMT',
  'DDC',
  'ACY3',
  'ALDH1A3',
  'METTL2B',
  'ALDH3B1',
  'ALDH3B2',
  'ALDH9A1',
  'ALDH3A2',
  'HEMK1',
  'LCMT2',
  'UROC1',
  'TRMT11',
  'ABP1',
  'ALDH7A1',
  'FTCD',
  'AMDHD1',
  'ASPA',
  'LCMT1',
  'HDC'],
 'KEGG_AUTOIMMUNE_THYROID_DISEASE': ['HLA-DOA',
  'HLA-DOB',
  'CD80',
  'CD86',
  'CD28',
  'IFNA5',
  'IFNA4',
  'IFNA2',
  'TSHR',
  'TSHB',
  'IFNA1',
  'HLA-C',
  'HLA-B',
  'HLA-DMB',
  'HLA-DMA',
  'HLA-A',
  'HLA-G',
  'TG',
  'CGA',
  'IFNA17',
  'IFNA21',
  'IFNA6',
  'IFNA7',
  'PRF1',
  'IFNA8',
  'IFNA10',
  'IFNA13',
  'IFNA14',
  'GZMB',
  'IFNA16',
  'TPO',
  'IL10',
  'CTLA4',
  'HLA-DRB4',
  'HLA-DRB5',
  'HLA-DRB3',
  'LOC652614',
  'HLA-F',
  'HLA-E',
  'IL2',
  'CD40LG',
  'HLA-DPA1',
  'CD40',
  'HLA-DPB1',
  'HLA-DQA1',
  'HLA-DQA2',
  'HLA-DQB1',
  'FAS',
  'FASLG',
  'IL4',
  'IL5',
  'HLA-DRB1',
  'HLA-DRA'],
 'KEGG_PATHWAYS_IN_CANCER': ['JUN',
  'STAT3',
  'TFG',
  'STAT1',
  'HGF',
  'BIRC5',
  'FN1',
  'BIRC3',
  'IGF1',
  'XIAP',
  'PML',
  'JUP',
  'HHIP',
  'IGF1R',
  'FZD1',
  'FZD4',
  'GSTP1',
  'FZD6',
  'FZD7',
  'FZD8',
  'LEF1',
  'FZD9',
  'MSH6',
  'PGF',
  'CTBP2',
  'CTBP1',
  'WNT9B',
  'PTK2',
  'WNT9A',
  'PTGS2',
  'HIF1A',
  'FLT3',
  'FLT3LG',
  'ABL1',
  'WNT2B',
  'JAK1',
  'WNT11',
  'AKT1',
  'WNT10B',
  'AKT2',
  'LAMC2',
  'SMO',
  'NRAS',
  'LAMB2',
  'ARNT',
  'TPR',
  'LAMB3',
  'AXIN1',
  'LAMC1',
  'AXIN2',
  'STAT5B',
  'STAT5A',
  'LAMA4',
  'LAMA5',
  'NFKB2',
  'LAMB1',
  'NFKB1',
  'CTNNA1',
  'NFKBIA',
  'TPM3',
  'MYC',
  'PIK3R5',
  'CSF1R',
  'SHH',
  'LAMB4',
  'CCDC6',
  'NCOA4',
  'KRAS',
  'CSF2RA',
  'TRAF6',
  'TGFB2',
  'TRAF5',
  'TRAF3',
  'TGFB1',
  'TRAF2',
  'RBX1',
  'TGFBR2',
  'TRAF1',
  'TGFBR1',
  'HSP90B1',
  'MET',
  'TGFB3',
  'RALB',
  'RALA',
  'FOXO1',
  'CSF3R',
  'BIRC2',
  'APC',
  'SUFU',
  'PIAS4',
  'LAMC3',
  'CBLC',
  'WNT16',
  'PLCG1',
  'PLCG2',
  'PLD1',
  'BCR',
  'PAX8',
  'CASP9',
  'MAX',
  'CASP8',
  'RARB',
  'FGF9',
  'RARA',
  'FGF8',
  'FGF7',
  'FGF6',
  'FGF5',
  'MTOR',
  'FGF3',
  'FGF4',
  'KITLG',
  'FGF1',
  'PTCH2',
  'FGF2',
  'FGF21',
  'BAD',
  'MAPK9',
  'MAPK10',
  'WNT3A',
  'MAP2K2',
  'MECOM',
  'NOS2',
  'BAX',
  'MAP2K1',
  'FGFR2',
  'FZD3',
  'KIT',
  'RB1',
  'CASP3',
  'FGFR3',
  'PIAS2',
  'FGFR1',
  'FGF14',
  'FGF17',
  'FGF16',
  'FGF10',
  'CUL2',
  'GRB2',
  'FGF11',
  'FGF12',
  'WNT10A',
  'FGF13',
  'WNT4',
  'SMAD3',
  'ETS1',
  'SMAD4',
  'SMAD2',
  'RUNX1',
  'IKBKG',
  'HRAS',
  'WNT1',
  'RUNX1T1',
  'WNT7A',
  'CBLB',
  'WNT7B',
  'CBL',
  'WNT8A',
  'LOC652346',
  'WNT8B',
  'WNT2',
  'CTNNA2',
  'FGF23',
  'WNT3',
  'RASSF5',
  'WNT5A',
  'WNT6',
  'CTNNB1',
  'CCNA1',
  'FGF18',
  'STK4',
  'STK36',
  'FZD10',
  'FZD5',
  'PTEN',
  'PIK3R3',
  'TCF7L1',
  'RALGDS',
  'PTCH1',
  'MITF',
  'CTNNA3',
  'FOS',
  'LAMA1',
  'PIAS3',
  'NKX3-1',
  'ITGA3',
  'APC2',
  'ITGA2B',
  'CREBBP',
  'COL4A6',
  'PDGFRB',
  'MMP2',
  'BRCA2',
  'COL4A1',
  'MMP1',
  'BRAF',
  'COL4A2',
  'MMP9',
  'MLH1',
  'COL4A4',
  'SPI1',
  'IKBKB',
  'MDM2',
  'ARNT2',
  'ITGAV',
  'ITGB1',
  'AKT3',
  'LOC652671',
  'EGLN2',
  'DAPK3',
  'EGLN3',
  'DAPK1',
  'PIAS1',
  'FGF20',
  'LOC652799',
  'RELA',
  'APPL1',
  'FH',
  'VEGFA',
  'HSP90AA1',
  'VEGFC',
  'VEGFB',
  'WNT5B',
  'CCND1',
  'TRAF4',
  'BCL2',
  'PDGFA',
  'FGF22',
  'PDGFB',
  'BCL2L1',
  'PDGFRA',
  'MSH2',
  'VHL',
  'FIGF',
  'RALBP1',
  'HSP90AB1',
  'MSH3',
  'CRK',
  'CYCS',
  'CRKL',
  'CCNE1',
  'DCC',
  'CDC42',
  'CDH1',
  'SOS2',
  'E2F1',
  'CHUK',
  'ZBTB16',
  'RAF1',
  'PRKCB',
  'PRKCA',
  'SLC2A1',
  'CEBPA',
  'FADD',
  'RHOA',
  'RAD51',
  'TCEB1',
  'PRKCG',
  'TCEB2',
  'IL8',
  'RAC2',
  'DVL3',
  'ERBB2',
  'DVL2',
  'BID',
  'TGFA',
  'RAC3',
  'RXRB',
  'RXRG',
  'RXRA',
  'RASSF1',
  'DVL1',
  'SKP2',
  'RET',
  'MAPK3',
  'TCF7',
  'DAPK2',
  'FGF19',
  'RAC1',
  'SOS1',
  'TCF7L2',
  'MAPK1',
  'MAPK8',
  'EGFR',
  'EP300',
  'EPAS1',
  'GSK3B',
  'CDKN2A',
  'CDKN1B',
  'CDKN1A',
  'EGF',
  'LAMA3',
  'LAMA2',
  'CDKN2B',
  'ARAF',
  'AR',
  'ITGA6',
  'ITGA2',
  'GLI1',
  'EGLN1',
  'CDK2',
  'BMP4',
  'CDK4',
  'BMP2',
  'GLI2',
  'PPARG',
  'GLI3',
  'PPARD',
  'TP53',
  'E2F3',
  'E2F2',
  'PIK3CA',
  'PIK3CB',
  'CCNE2',
  'CDK6',
  'FAS',
  'KLK3',
  'PIK3CD',
  'FASLG',
  'FZD2',
  'HDAC1',
  'HDAC2',
  'PIK3CG',
  'CKS1B',
  'IL6',
  'NTRK1',
  'PIK3R1',
  'PIK3R2'],
 'KEGG_GRAFT_VERSUS_HOST_DISEASE': ['HLA-DRB4',
  'KIR2DL1',
  'HLA-DRB5',
  'HLA-DOA',
  'HLA-DOB',
  'HLA-DRB3',
  'CD80',
  'CD86',
  'KLRD1',
  'KLRC1',
  'CD28',
  'TNF',
  'KIR2DL2',
  'KIR2DL3',
  'IFNG',
  'LOC652614',
  'HLA-C',
  'HLA-B',
  'HLA-DMB',
  'IL1B',
  'HLA-DMA',
  'HLA-F',
  'HLA-E',
  'HLA-A',
  'IL2',
  'HLA-DPA1',
  'HLA-DPB1',
  'HLA-DQA1',
  'HLA-G',
  'KIR3DL1',
  'HLA-DQA2',
  'KIR3DL2',
  'HLA-DQB1',
  'IL1A',
  'PRF1',
  'FAS',
  'FASLG',
  'GZMB',
  'KIR2DL5A',
  'IL6',
  'HLA-DRB1',
  'HLA-DRA'],
 'KEGG_JAK_STAT_SIGNALING_PATHWAY': ['STAT3',
  'STAT4',
  'STAT1',
  'STAT2',
  'PIAS3',
  'TYK2',
  'IL21R',
  'CREBBP',
  'SOCS5',
  'IL23A',
  'CTF1',
  'STAM',
  'SPRY4',
  'IL22',
  'JAK1',
  'AKT1',
  'AKT2',
  'JAK3',
  'JAK2',
  'AKT3',
  'STAT5B',
  'STAT5A',
  'TPO',
  'STAT6',
  'MYC',
  'IL24',
  'SPRED1',
  'PIK3R5',
  'CSF2',
  'IL13RA2',
  'PIAS1',
  'IL13RA1',
  'CNTF',
  'PRLR',
  'CNTFR',
  'PRL',
  'SOCS1',
  'IFNE',
  'CSF2RB',
  'CSF2RA',
  'IL23R',
  'CSF3',
  'SOCS3',
  'CCND1',
  'IL22RA2',
  'CSH1',
  'BCL2L1',
  'CSF3R',
  'PIAS4',
  'CBLC',
  'CLCF1',
  'OSMR',
  'IL20',
  'CCND2',
  'CCND3',
  'SOS2',
  'EPO',
  'PTPN11',
  'IL9R',
  'MPL',
  'SPRED2',
  'IFNA5',
  'IFNA4',
  'IFNA2',
  'IL28RA',
  'SOCS2',
  'IFNA1',
  'CISH',
  'PTPN6',
  'IL9',
  'IL7R',
  'IL12RB1',
  'IL12B',
  'IL13',
  'IL12RB2',
  'IL11RA',
  'IL12A',
  'IRF9',
  'IFNA17',
  'PIAS2',
  'IFNA21',
  'IFNA6',
  'LEPR',
  'IFNA7',
  'IFNA8',
  'IFNA10',
  'IFNA13',
  'GRB2',
  'IFNA14',
  'LEP',
  'IFNA16',
  'IL26',
  'IL19',
  'IL10',
  'IL10RA',
  'SOS1',
  'IL10RB',
  'EPOR',
  'IL11',
  'IL3RA',
  'IL3',
  'EP300',
  'IL2RG',
  'IL2RB',
  'CBLB',
  'OSM',
  'CBL',
  'IL15RA',
  'IFNGR2',
  'IL15',
  'IFNG',
  'IFNGR1',
  'IFNB1',
  'IFNAR1',
  'IFNAR2',
  'IL21',
  'IL20RB',
  'IL2RA',
  'IL22RA1',
  'IL20RA',
  'IL2',
  'IL6R',
  'PIK3R3',
  'CRLF2',
  'IFNK',
  'SPRY2',
  'IL6ST',
  'SPRY1',
  'IL7',
  'STAM2',
  'GHR',
  'IL28B',
  'IL29',
  'SOCS4',
  'PIK3CA',
  'PIK3CB',
  'PIM1',
  'IL28A',
  'PIK3CD',
  'LIF',
  'GH1',
  'GH2',
  'IFNW1',
  'LIFR',
  'TSLP',
  'IL4',
  'IL4R',
  'SPRY3',
  'IL5',
  'PIK3CG',
  'SOCS7',
  'IL5RA',
  'PIK3R1',
  'IL6',
  'PIK3R2'],
 'KEGG_FC_GAMMA_R_MEDIATED_PHAGOCYTOSIS': ['FCGR1A',
  'SPHK1',
  'PIP4K2B',
  'WASF2',
  'PLA2G6',
  'VAV1',
  'WASF1',
  'PLA2G4B',
  'PIKFYVE',
  'VASP',
  'AKT1',
  'AKT2',
  'PIP5K1A',
  'AMPH',
  'DOCK2',
  'PIP5K1B',
  'ARPC4',
  'ARPC5',
  'AKT3',
  'VAV2',
  'ARPC1B',
  'ARPC3',
  'SCIN',
  'WASF3',
  'FCGR2A',
  'FCGR3A',
  'FCGR2B',
  'PIK3R5',
  'DNM2',
  'CFL2',
  'CFL1',
  'PIP5K1C',
  'PLA2G4E',
  'ASAP2',
  'DNM3',
  'PAK1',
  'CRK',
  'CRKL',
  'PLCG1',
  'PLCG2',
  'PLD1',
  'ARPC5L',
  'PLD2',
  'CDC42',
  'PRKCB',
  'RAF1',
  'PRKCA',
  'ARF6',
  'WAS',
  'FCGR2C',
  'PRKCG',
  'PRKCD',
  'INPP5D',
  'HCK',
  'PRKCE',
  'RAC2',
  'MYO10',
  'WASL',
  'PLA2G4A',
  'DNM1L',
  'MAP2K1',
  'DNM1',
  'MARCKS',
  'RPS6KB1',
  'RPS6KB2',
  'ASAP3',
  'MAPK3',
  'PLA2G4F',
  'ARPC2',
  'RAC1',
  'PTPRC',
  'MAPK1',
  'MARCKSL1',
  'GSN',
  'GAB2',
  'SPHK2',
  'LAT',
  'PPAP2B',
  'LIMK2',
  'LIMK1',
  'SYK',
  'LOC653888',
  'PLA2G4D',
  'PIK3R3',
  'PIK3CA',
  'PPAP2A',
  'PIK3CB',
  'PPAP2C',
  'PIK3CD',
  'ARPC1A',
  'NCF1',
  'PIK3CG',
  'ASAP1',
  'LYN',
  'VAV3',
  'PIK3R1',
  'PIK3R2'],
 'KEGG_RETINOL_METABOLISM': ['RPE65',
  'CYP3A5',
  'UGT2B28',
  'CYP4A11',
  'CYP3A4',
  'RDH8',
  'DHRS3',
  'CYP2C18',
  'ADH1B',
  'ADH1C',
  'ADH4',
  'ADH5',
  'DGAT2',
  'ADH1A',
  'BCMO1',
  'RDH10',
  'CYP26A1',
  'UGT2B11',
  'CYP2C9',
  'AWAT2',
  'CYP26C1',
  'CYP2C19',
  'CYP2C8',
  'CYP2B6',
  'UGT2A3',
  'CYP2A13',
  'UGT1A4',
  'CYP3A7',
  'UGT1A1',
  'UGT1A3',
  'CYP26B1',
  'DHRS9',
  'UGT1A10',
  'DGAT1',
  'UGT1A8',
  'UGT1A7',
  'UGT1A6',
  'ALDH1A1',
  'RETSAT',
  'RDH12',
  'LRAT',
  'RDH11',
  'UGT1A5',
  'CYP2A6',
  'CYP2A7',
  'CYP4A22',
  'DHRS4',
  'CYP1A1',
  'CYP1A2',
  'ADH7',
  'ADH6',
  'UGT2A1',
  'ALDH1A2',
  'CYP3A43',
  'DHRS4L2',
  'RDH16',
  'UGT1A9',
  'RDH5',
  'UGT2B10',
  'UGT2B7',
  'PNPLA4',
  'UGT2B4',
  'UGT2B17',
  'UGT2B15'],
 'KEGG_FOLATE_BIOSYNTHESIS': ['QDPR',
  'ALPP',
  'ALPPL2',
  'DHFR',
  'GGH',
  'GCH1',
  'FPGS',
  'SPR',
  'ALPL',
  'PTS',
  'ALPI'],
 'KEGG_BETA_ALANINE_METABOLISM': ['CNDP1',
  'SRM',
  'ECHS1',
  'ALDH9A1',
  'ALDH3A2',
  'GAD1',
  'GAD2',
  'AOC2',
  'ALDH1B1',
  'HIBCH',
  'ABAT',
  'EHHADH',
  'ALDH2',
  'ACADM',
  'UPB1',
  'ALDH7A1',
  'AOC3',
  'DPYS',
  'DPYD',
  'MLYCD',
  'HADHA',
  'SMS'],
 'KEGG_STARCH_AND_SUCROSE_METABOLISM': ['ENPP3',
  'GCK',
  'ENPP1',
  'AMY2B',
  'UGT2B28',
  'PGM2',
  'UXS1',
  'UGDH',
  'MGAM',
  'GYS1',
  'GYS2',
  'HK2',
  'HK3',
  'HK1',
  'GBA3',
  'GUSB',
  'TREH',
  'AMY1A',
  'AMY1B',
  'AMY1C',
  'AMY2A',
  'UGT2B11',
  'PYGB',
  'PYGM',
  'PYGL',
  'UGT2A3',
  'UGT1A4',
  'UGT1A1',
  'UGT1A3',
  'UGT1A10',
  'UGT1A8',
  'UGT1A7',
  'UGT1A6',
  'PGM2L1',
  'AGL',
  'UGT1A5',
  'SI',
  'UGT2A1',
  'GBE1',
  'UGT1A9',
  'G6PC2',
  'GANC',
  'G6PC',
  'UGP2',
  'PGM1',
  'UGT2B10',
  'UGT2B7',
  'UGT2B4',
  'GAA',
  'GPI',
  'UGT2B17',
  'UGT2B15'],
 'KEGG_PYRUVATE_METABOLISM': ['ACSS2',
  'PCK2',
  'ME3',
  'GRHPR',
  'PDHB',
  'PCK1',
  'PDHA1',
  'ALDH1B1',
  'PDHA2',
  'HAGH',
  'ALDH2',
  'ACAT2',
  'ACAT1',
  'LDHC',
  'LDHD',
  'HAGHL',
  'ACSS1',
  'LDHB',
  'ACYP2',
  'ME1',
  'ACYP1',
  'ALDH9A1',
  'ALDH3A2',
  'ME2',
  'DLD',
  'MDH2',
  'DLAT',
  'MDH1',
  'ALDH7A1',
  'PC',
  'GLO1',
  'LDHAL6B',
  'LDHA',
  'ACACB',
  'ACACA',
  'PKLR',
  'AKR1B1',
  'LDHAL6A',
  'PKM2',
  'ACOT12'],
 'KEGG_CYSTEINE_AND_METHIONINE_METABOLISM': ['AMD1',
  'SRM',
  'ADI1',
  'AHCY',
  'DNMT1',
  'SDS',
  'TRDMT1',
  'DNMT3A',
  'DNMT3B',
  'LDHC',
  'IL4I1',
  'SMS',
  'LDHB',
  'ENOPH1',
  'BHMT',
  'GOT2',
  'CDO1',
  'APIP',
  'GOT1',
  'LDHAL6B',
  'TAT',
  'AHCYL1',
  'MTAP',
  'MAT2B',
  'LDHA',
  'MTR',
  'CBS',
  'MAT1A',
  'AHCYL2',
  'CTH',
  'MAT2A',
  'MPST',
  'LDHAL6A',
  'DNMT3L'],
 'KEGG_ETHER_LIPID_METABOLISM': ['ENPP2',
  'PAFAH1B1',
  'PPAP2B',
  'LPCAT1',
  'PLA2G3',
  'ENPP6',
  'LPCAT4',
  'PLA2G4E',
  'JMJD7-PLA2G4B',
  'CHPT1',
  'AGPS',
  'PLA2G6',
  'PAFAH1B3',
  'PLA2G2E',
  'PLA2G10',
  'PAFAH2',
  'PLA2G2A',
  'PLA2G4A',
  'PLA2G5',
  'PLA2G12B',
  'PLA2G4B',
  'PLA2G7',
  'PLA2G2F',
  'PPAP2A',
  'PPAP2C',
  'PLA2G2C',
  'PAFAH1B2',
  'PLA2G2D',
  'LPCAT2',
  'PLD1',
  'PLA2G12A',
  'PLD2',
  'PLA2G1B'],
 'KEGG_PHOSPHATIDYLINOSITOL_SIGNALING_SYSTEM': ['PLCB2',
  'CALM2',
  'INPP1',
  'PLCB1',
  'PLCD1',
  'PRKCB',
  'PRKCA',
  'PLCB3',
  'CALM1',
  'PLCB4',
  'DGKZ',
  'INPP5A',
  'DGKE',
  'INPP5B',
  'DGKD',
  'INPP4A',
  'PRKCG',
  'INPPL1',
  'DGKH',
  'INPP5D',
  'SYNJ2',
  'PIP4K2B',
  'ITPR3',
  'PLCD3',
  'PIKFYVE',
  'IMPA1',
  'IMPA2',
  'PIP5K1A',
  'PIP5K1B',
  'INPP5J',
  'CDS1',
  'INPP5K',
  'SYNJ1',
  'PLCD4',
  'ITPKA',
  'PIK3R5',
  'ITPKB',
  'ITPK1',
  'CDIPT',
  'ITPR1',
  'ITPR2',
  'DGKQ',
  'CDS2',
  'INPP4B',
  'DGKB',
  'DGKG',
  'DGKA',
  'DGKI',
  'PLCE1',
  'CALML5',
  'PIP5K1C',
  'PIK3C3',
  'PIK3C2B',
  'PIK3C2G',
  'PIP4K2A',
  'PIK3C2A',
  'PTEN',
  'PIK3R3',
  'PIP4K2C',
  'IPPK',
  'CALML3',
  'PIK3CA',
  'PIK3CB',
  'PIK3CD',
  'PLCG1',
  'PLCG2',
  'PLCZ1',
  'PI4KB',
  'CALM3',
  'INPP5E',
  'PIK3CG',
  'PIK3R1',
  'OCRL',
  'PIK3R2',
  'CALML6',
  'PI4KA'],
 'KEGG_PROGESTERONE_MEDIATED_OOCYTE_MATURATION': ['CDC16',
  'ADCY8',
  'ADCY9',
  'ADCY6',
  'RAF1',
  'ADCY7',
  'ADCY5',
  'SPDYA',
  'IGF1',
  'RPS6KA6',
  'CDK1',
  'ANAPC10',
  'IGF1R',
  'ANAPC1',
  'INS',
  'ANAPC11',
  'SPDYC',
  'MAPK9',
  'MAPK10',
  'MAPK11',
  'BRAF',
  'MAPK13',
  'MAP2K1',
  'ADCY4',
  'AKT1',
  'AKT2',
  'RPS6KA2',
  'RPS6KA3',
  'AKT3',
  'CPEB1',
  'MAPK3',
  'ANAPC7',
  'ANAPC5',
  'ANAPC2',
  'ANAPC4',
  'MAD2L1',
  'RPS6KA1',
  'MAPK1',
  'PIK3R5',
  'PDE3B',
  'MAPK8',
  'CDC23',
  'MAPK14',
  'MAPK12',
  'KRAS',
  'PRKX',
  'GNAI1',
  'CCNA1',
  'GNAI2',
  'FZR1',
  'ADCY3',
  'HSP90AA1',
  'ARAF',
  'LOC650621',
  'ADCY2',
  'PLK1',
  'ADCY1',
  'PDE3A',
  'ANAPC13',
  'MOS',
  'PIK3R3',
  'PGR',
  'CCNA2',
  'BUB1',
  'PKMYT1',
  'PRKACA',
  'CDK2',
  'PRKACB',
  'PRKACG',
  'CDC26',
  'GNAI3',
  'HSP90AB1',
  'CDC27',
  'PIK3CA',
  'PIK3CB',
  'CDC25B',
  'CDC25C',
  'CCNB2',
  'PIK3CD',
  'CDC25A',
  'MAD2L2',
  'CCNB1',
  'PIK3CG',
  'PIK3R1',
  'CCNB3',
  'PIK3R2'],
 'KEGG_BUTANOATE_METABOLISM': ['AACS',
  'PDHB',
  'ALDH1B1',
  'ACADS',
  'PDHA1',
  'ABAT',
  'PDHA2',
  'ALDH2',
  'ACAT2',
  'ACAT1',
  'OXCT1',
  'HADH',
  'BDH1',
  'HADHA',
  'ACSM1',
  'HMGCL',
  'AKR1B10',
  'ECHS1',
  'ALDH9A1',
  'GAD1',
  'ALDH3A2',
  'ACSM3',
  'GAD2',
  'ACSM4',
  'HMGCS2',
  'EHHADH',
  'HMGCS1',
  'ALDH7A1',
  'ALDH5A1',
  'BDH2',
  'OXCT2',
  'ACSM2A',
  'ACSM5',
  'L2HGDH'],
 'KEGG_GLYCEROPHOSPHOLIPID_METABOLISM': ['PEMT',
  'PLA2G15',
  'GPD1',
  'GPD1L',
  'LPGAT1',
  'GPAM',
  'MBOAT2',
  'MBOAT7',
  'CHAT',
  'LPCAT1',
  'PTDSS1',
  'ACHE',
  'PLA2G3',
  'DGKZ',
  'ETNK1',
  'DGKE',
  'DGKD',
  'PCYT1A',
  'DGKH',
  'JMJD7-PLA2G4B',
  'CHPT1',
  'MBOAT1',
  'PLA2G6',
  'PLA2G2E',
  'PLA2G10',
  'LPCAT3',
  'PLA2G2A',
  'ETNK2',
  'PLA2G4A',
  'PLA2G5',
  'PLA2G12B',
  'PLA2G4B',
  'PTDSS2',
  'PLA2G2F',
  'PCYT2',
  'CDS1',
  'AGPAT3',
  'AGPAT4',
  'PGS1',
  'LYPLA1',
  'PLA2G1B',
  'C17orf48',
  'CDIPT',
  'DGKQ',
  'CDS2',
  'DGKB',
  'DGKG',
  'PPAP2B',
  'DGKA',
  'DGKI',
  'PHOSPHO1',
  'LCLAT1',
  'TAZ',
  'AGPAT9',
  'GNPAT',
  'LPCAT4',
  'PLA2G4E',
  'AGPAT6',
  'CHKA',
  'PPAP2A',
  'PPAP2C',
  'LYPLA2',
  'PLA2G2C',
  'AGPAT1',
  'PLA2G2D',
  'LPCAT2',
  'PLA2G12A',
  'AGPAT2',
  'PLD1',
  'CHKB',
  'PISD',
  'PLD2',
  'PCYT1B',
  'GPAT2',
  'LCAT',
  'CRLS1',
  'GPD2'],
 'KEGG_VASCULAR_SMOOTH_MUSCLE_CONTRACTION': ['CALM2',
  'CALD1',
  'CALM1',
  'CYP4A11',
  'CALCRL',
  'PTGIR',
  'PPP1R14A',
  'JMJD7-PLA2G4B',
  'ROCK1',
  'PLA2G6',
  'PLA2G2E',
  'MRVI1',
  'PLA2G10',
  'BRAF',
  'ITPR3',
  'PLA2G4B',
  'MYL6B',
  'PLA2G2F',
  'EDNRA',
  'GNA12',
  'GNA11',
  'GNA13',
  'PRKX',
  'GUCY1A2',
  'MYLK',
  'ADCY3',
  'MYL6',
  'CALML5',
  'ADCY2',
  'ADCY1',
  'PLA2G4E',
  'KCNMB3',
  'PRKACA',
  'GNAQ',
  'PRKACB',
  'PRKACG',
  'GNAS',
  'CALML3',
  'PLA2G2D',
  'PLA2G12A',
  'AGTR1',
  'MYH11',
  'CALM3',
  'PLCB2',
  'KCNMB2',
  'ADCY8',
  'PLCB1',
  'ADCY9',
  'PPP1R12B',
  'ADCY6',
  'ADCY7',
  'PRKCB',
  'RAF1',
  'PLCB3',
  'PRKCA',
  'ADCY5',
  'PLCB4',
  'MYL9',
  'ARHGEF11',
  'KCNMB1',
  'KCNMA1',
  'RHOA',
  'PLA2G3',
  'PPP1R12A',
  'PRKCG',
  'PRKCH',
  'PRKCD',
  'PRKCE',
  'PLA2G2A',
  'MAP2K2',
  'CACNA1D',
  'PLA2G4A',
  'PRKCQ',
  'PLA2G5',
  'PLA2G12B',
  'MAP2K1',
  'CACNA1C',
  'ARHGEF12',
  'MYLK2',
  'CACNA1F',
  'CACNA1S',
  'ADCY4',
  'PPP1CC',
  'PPP1CA',
  'PPP1CB',
  'GUCY1B3',
  'MAPK3',
  'GUCY1A3',
  'ACTG2',
  'PRKG1',
  'PLA2G1B',
  'MAPK1',
  'ADORA2A',
  'RAMP3',
  'RAMP1',
  'ACTA2',
  'RAMP2',
  'ITPR1',
  'ADORA2B',
  'ITPR2',
  'ARAF',
  'CYP4A22',
  'NPR2',
  'AVPR1A',
  'AVPR1B',
  'ROCK2',
  'NPR1',
  'ADRA1D',
  'ADRA1B',
  'ADRA1A',
  'KCNMB4',
  'PLA2G2C',
  'ARHGEF1',
  'MYLK3',
  'CALML6'],
 'KEGG_SNARE_INTERACTIONS_IN_VESICULAR_TRANSPORT': ['STX12',
  'STX2',
  'VAMP5',
  'GOSR2',
  'SNAP29',
  'STX7',
  'STX6',
  'STX1A',
  'STX11',
  'STX16',
  'VAMP1',
  'VAMP3',
  'BNIP1',
  'STX3',
  'VAMP2',
  'STX10',
  'VAMP7',
  'SNAP47',
  'SEC22B',
  'VAMP4',
  'VAMP8',
  'YKT6',
  'SNAP23',
  'BET1L',
  'STX18',
  'GOSR1',
  'SNAP25',
  'USE1',
  'STX5',
  'STX4',
  'STX19',
  'VTI1B',
  'BET1',
  'VTI1A',
  'TSNARE1',
  'STX8',
  'STX1B',
  'STX17'],
 'KEGG_CARDIAC_MUSCLE_CONTRACTION': ['CACNA2D1',
  'CACNB1',
  'COX8A',
  'CACNB2',
  'UQCR10',
  'COX7C',
  'CACNB3',
  'CACNB4',
  'CACNG1',
  'COX6CP3',
  'FXYD2',
  'CACNG8',
  'RYR2',
  'CACNG6',
  'ATP2A2',
  'CACNG7',
  'TPM2',
  'CYTB',
  'TPM1',
  'ATP1B2',
  'ATP1B3',
  'ATP1A4',
  'ATP1B1',
  'COX2',
  'COX7B',
  'COX1',
  'COX7A1',
  'COX7A2',
  'COX8C',
  'COX6C',
  'COX3',
  'CACNA2D3',
  'COX6B1',
  'CACNA1D',
  'SLC8A1',
  'COX5B',
  'SLC9A1',
  'LOC644310',
  'CACNA1C',
  'TNNI3',
  'CACNA1F',
  'COX4I1',
  'ATP1A1',
  'CACNA2D2',
  'CACNA1S',
  'COX7B2',
  'ATP1A3',
  'TNNC1',
  'ATP1A2',
  'UQCRB',
  'COX6A2',
  'SLC9A6',
  'TPM4',
  'ACTC1',
  'COX6A1',
  'CACNA2D4',
  'UQCRH',
  'UQCRFS1',
  'UQCRC2',
  'TPM3',
  'UQCRC1',
  'CACNG2',
  'CACNG3',
  'UQCR11',
  'UQCRQ',
  'MYL3',
  'TNNT2',
  'MYL2',
  'LOC727947',
  'COX6B2',
  'COX4I2',
  'COX7A2L',
  'COX5A',
  'CACNG5',
  'CACNG4',
  'UQCRHL',
  'CYC1',
  'MYH7',
  'MYH6',
  'ATP1B4'],
 'KEGG_SPLICEOSOME': ['EFTUD2',
  'LSM5',
  'SF3A1',
  'HNRNPA1L2',
  'SF3B2',
  'PRPF19',
  'SNRNP27',
  'HNRNPA3',
  'LSM6',
  'USP39',
  'DDX42',
  'NCBP1',
  'SF3B1',
  'MAGOH',
  'CDC40',
  'SF3B3',
  'SRSF9',
  'ACIN1',
  'TXNL4A',
  'TCERG1',
  'U2AF2',
  'RBM17',
  'PRPF38B',
  'THOC1',
  'PLRG1',
  'CCDC12',
  'MAGOHB',
  'HSPA8',
  'LSM7',
  'CHERP',
  'NAA38',
  'PQBP1',
  'RBMX',
  'LSM4',
  'EIF4A3',
  'SF3A3',
  'DDX46',
  'RBM25',
  'PRPF40A',
  'THOC3',
  'NHP2L1',
  'PRPF40B',
  'LSM2',
  'SRSF8',
  'SF3A2',
  'SMNDC1',
  'BCAS2',
  'NCBP2',
  'PRPF8',
  'LOC120364',
  'THOC4',
  'DDX39B',
  'CWC15',
  'DDX23',
  'PRPF18',
  'CDC5L',
  'SF3B5',
  'SNRNP40',
  'PRPF31',
  'SNW1',
  'DHX15',
  'WBP11',
  'HNRNPU',
  'CTNNBL1',
  'HNRNPK',
  'TRA2A',
  'SNRNP200',
  'HSPA1L',
  'HSPA1B',
  'RBM22',
  'HSPA2',
  'HSPA1A',
  'ZMAT2',
  'PRPF6',
  'DHX16',
  'U2AF1',
  'PRPF38A',
  'HNRNPC',
  'DDX5',
  'DHX8',
  'HSPA6',
  'DHX38',
  'ISY1',
  'XAB2',
  'SNRPG',
  'SNRPE',
  'SNRPF',
  'SNRPD2',
  'SNRPD3',
  'SART1',
  'SYF2',
  'CRNKL1',
  'U2SURP',
  'HNRNPA1',
  'PRPF3',
  'AQR',
  'PRPF4',
  'LSM3',
  'SF3B4',
  'PPIH',
  'LOC653884',
  'SLU7',
  'BUD31',
  'PHF5A',
  'SRSF10',
  'SRSF6',
  'SNRPA',
  'RBM8A',
  'SRSF7',
  'SNRPA1',
  'HNRNPM',
  'SNRPB',
  'TRA2B',
  'SNRPB2',
  'PUF60',
  'SRSF5',
  'SNRNP70',
  'PCBP1',
  'PPIL1',
  'SF3B14',
  'SRSF4',
  'SRSF3',
  'SNRPD1',
  'THOC2',
  'SNRPC',
  'PPIE',
  'SRSF2',
  'SRSF1'],
 'KEGG_AMINO_SUGAR_AND_NUCLEOTIDE_SUGAR_METABOLISM': ['MPI',
  'GCK',
  'GFPT2',
  'GALK1',
  'GALE',
  'PMM2',
  'PGM2',
  'PMM1',
  'AMDHD2',
  'GNPDA2',
  'GMDS',
  'UXS1',
  'GNPNAT1',
  'NANS',
  'UGDH',
  'CYB5R3',
  'GFPT1',
  'FUK',
  'NANP',
  'CYB5R1',
  'FPGT',
  'HEXB',
  'HEXA',
  'HK2',
  'HK1',
  'HK3',
  'GALT',
  'GNE',
  'NAGK',
  'CHIT1',
  'UAP1',
  'RENBP',
  'CHIA',
  'NPL',
  'UGP2',
  'GALK2',
  'TSTA3',
  'PGM1',
  'CMAS',
  'PGM3',
  'GNPDA1',
  'GMPPA',
  'GPI',
  'GMPPB'],
 'KEGG_SYSTEMIC_LUPUS_ERYTHEMATOSUS': ['CD80',
  'CD86',
  'HIST3H2BB',
  'CD28',
  'H2AFY',
  'H3.X',
  'HIST1H2AA',
  'HIST1H2AD',
  'HIST3H2A',
  'HIST1H2AE',
  'FCGR1A',
  'HIST2H2AB',
  'HIST2H3C',
  'HIST2H2AA4',
  'C9',
  'CTSG',
  'H3.Y',
  'HIST1H4I',
  'FCGR3B',
  'FCGR2A',
  'C8A',
  'HIST3H3',
  'C7',
  'FCGR3A',
  'C8G',
  'FCGR2B',
  'C8B',
  'HLA-DRB4',
  'HLA-DRB5',
  'HLA-DRB3',
  'C6',
  'C5',
  'ELANE',
  'HIST4H4',
  'C4B',
  'C4A',
  'HIST2H4B',
  'HLA-DPA1',
  'H2AFB3',
  'HLA-DPB1',
  'HLA-DQA1',
  'HLA-DQA2',
  'HLA-DQB1',
  'HIST2H4A',
  'HIST1H2BB',
  'H2AFX',
  'H2AFZ',
  'HIST1H2BD',
  'C2',
  'H3F3B',
  'C1S',
  'C3',
  'C1QB',
  'HIST1H2AH',
  'C1QA',
  'H3F3A',
  'C1R',
  'C1QC',
  'HIST1H2BK',
  'ACTN2',
  'HLA-DRB1',
  'ACTN3',
  'HLA-DRA',
  'HIST1H2AG',
  'HLA-DOA',
  'HLA-DOB',
  'HIST1H3F',
  'TNF',
  'HIST1H4D',
  'FCGR2C',
  'HIST1H4K',
  'H2AFY2',
  'HIST1H4F',
  'H2AFV',
  'HIST1H4C',
  'HIST1H4J',
  'HIST1H4B',
  'HLA-DMB',
  'HIST1H4H',
  'HLA-DMA',
  'ACTN4',
  'HIST1H4L',
  'HIST1H2BJ',
  'ACTN1',
  'HIST1H4E',
  'HIST1H4G',
  'H2BFWT',
  'HIST2H2BE',
  'GRIN2A',
  'GRIN2B',
  'TROVE2',
  'TRIM21',
  'HIST1H3D',
  'HIST1H3A',
  'HIST2H2BF',
  'HIST1H3G',
  'HIST1H3I',
  'HIST1H3E',
  'HIST1H3C',
  'HIST1H4A',
  'IL10',
  'HIST1H3B',
  'SSB',
  'HIST1H3H',
  'HIST2H3A',
  'HIST1H3J',
  'H2BFM',
  'H2AFB1',
  'H3F3C',
  'HIST2H2AC',
  'HIST1H2BG',
  'H2AFB2',
  'H2AFJ',
  'SNRPD3',
  'HIST1H2APS6',
  'IFNG',
  'HIST1H2BL',
  'HIST1H2BI',
  'HIST1H2BH',
  'HIST1H2BO',
  'HIST1H2BC',
  'HIST1H2BM',
  'HIST1H2BN',
  'HIST1H2BE',
  'HIST1H2BF',
  'CD40LG',
  'CD40',
  'SNRPB',
  'HIST1H2AI',
  'HIST2H3D',
  'HIST2H2AA3',
  'HIST1H2AM',
  'SNRPD1',
  'HIST1H2AB',
  'LOC644950',
  'HIST1H2AC',
  'HIST1H2AL',
  'HIST1H2AJ',
  'HIST1H2BA',
  'HIST1H2AK'],
 'KEGG_GLYCINE_SERINE_AND_THREONINE_METABOLISM': ['ALAS1',
  'ALAS2',
  'GLYCTK',
  'MAOB',
  'AGXT2',
  'MAOA',
  'AOC2',
  'GATM',
  'SDS',
  'AOC3',
  'GNMT',
  'SHMT1',
  'GCAT',
  'PHGDH',
  'DMGDH',
  'SHMT2',
  'SRR',
  'PSAT1',
  'BHMT',
  'GLDC',
  'DLD',
  'GAMT',
  'PSPH',
  'AGXT',
  'SARDH',
  'AMT',
  'CHDH',
  'CBS',
  'CTH',
  'PIPOX',
  'DAO'],
 'KEGG_GLYOXYLATE_AND_DICARBOXYLATE_METABOLISM': ['ACO1',
  'GLYCTK',
  'MTHFD2',
  'GRHPR',
  'CS',
  'HAO1',
  'MDH2',
  'MDH1',
  'MTHFD2L',
  'PGP',
  'MTHFD1L',
  'MTHFD1',
  'HAO2',
  'AFMID',
  'HYI',
  'ACO2'],
 'KEGG_TERPENOID_BACKBONE_BIOSYNTHESIS': ['GGPS1',
  'PDSS1',
  'HMGCS2',
  'IDI2',
  'HMGCS1',
  'MVK',
  'ACAT2',
  'ACAT1',
  'FDPS',
  'PDSS2',
  'PMVK',
  'DHDDS',
  'MVD',
  'HMGCR',
  'IDI1'],
 'KEGG_B_CELL_RECEPTOR_SIGNALING_PATHWAY': ['JUN',
  'SOS2',
  'CHUK',
  'RAF1',
  'PRKCB',
  'MALT1',
  'CARD11',
  'PPP3R2',
  'PPP3CC',
  'PPP3R1',
  'PTPN6',
  'INPP5D',
  'DAPP1',
  'RAC2',
  'MAP2K2',
  'RAC3',
  'CD19',
  'MAP2K1',
  'VAV1',
  'CD22',
  'CD72',
  'IKBKB',
  'CD79A',
  'AKT1',
  'CD81',
  'CR2',
  'AKT2',
  'CD79B',
  'VAV2',
  'AKT3',
  'NRAS',
  'CHP2',
  'GRB2',
  'RASGRP3',
  'NFAT5',
  'MAPK3',
  'NFKB1',
  'NFKBIB',
  'RAC1',
  'NFKBIA',
  'SOS1',
  'FCGR2B',
  'NFKBIE',
  'MAPK1',
  'PIK3R5',
  'IKBKG',
  'HRAS',
  'IFITM1',
  'NFATC4',
  'RELA',
  'NFATC3',
  'GSK3B',
  'KRAS',
  'SYK',
  'BTK',
  'PIK3R3',
  'BLNK',
  'PIK3AP1',
  'PPP3CB',
  'PPP3CA',
  'LILRB3',
  'PIK3CA',
  'PIK3CB',
  'PIK3CD',
  'PLCG2',
  'BCL10',
  'NFATC2',
  'FOS',
  'NFATC1',
  'PIK3CG',
  'LYN',
  'VAV3',
  'PIK3R1',
  'PIK3R2',
  'CHP'],
 'KEGG_TYROSINE_METABOLISM': ['MAOB',
  'MAOA',
  'HPD',
  'AOX1',
  'AOC2',
  'TYR',
  'HGD',
  'METTL6',
  'ALDH3A1',
  'COMT',
  'AOC3',
  'WBSCR22',
  'IL4I1',
  'GSTZ1',
  'DDC',
  'ADH7',
  'DBH',
  'ADH6',
  'METTL2B',
  'ADH1B',
  'ALDH1A3',
  'ADH1C',
  'ALDH3B1',
  'ADH4',
  'ALDH3B2',
  'ADH5',
  'HEMK1',
  'ADH1A',
  'GOT2',
  'LCMT2',
  'TRMT11',
  'GOT1',
  'TYRP1',
  'TAT',
  'MIF',
  'NAT6',
  'PNMT',
  'DCT',
  'LCMT1',
  'TPO',
  'TH',
  'FAH'],
 'KEGG_RNA_POLYMERASE': ['POLR2G',
  'POLR2H',
  'POLR2E',
  'POLR2F',
  'POLR1C',
  'POLR2I',
  'POLR2J',
  'POLR3D',
  'POLR1D',
  'POLR3K',
  'POLR3GL',
  'POLR1B',
  'POLR2K',
  'POLR2J2',
  'POLR2L',
  'POLR3H',
  'POLR1E',
  'POLR2J3',
  'POLR1A',
  'POLR3C',
  'POLR2B',
  'POLR3A',
  'POLR3G',
  'POLR3B',
  'POLR2A',
  'POLR3F',
  'POLR2D',
  'POLR2C',
  'ZNRD1'],
 'KEGG_LONG_TERM_POTENTIATION': ['GRM5',
  'PLCB2',
  'ADCY8',
  'CALM2',
  'PLCB1',
  'RAF1',
  'PRKCB',
  'PLCB3',
  'PRKCA',
  'CALM1',
  'PLCB4',
  'RPS6KA6',
  'PPP3R2',
  'GRM1',
  'PPP3CC',
  'PPP3R1',
  'CREBBP',
  'PPP1R12A',
  'PRKCG',
  'GRIN1',
  'GRIN2A',
  'GRIN2B',
  'MAP2K2',
  'GRIN2C',
  'BRAF',
  'GRIN2D',
  'ITPR3',
  'CACNA1C',
  'MAP2K1',
  'GRIA2',
  'GRIA1',
  'RPS6KA2',
  'RPS6KA3',
  'NRAS',
  'CHP2',
  'PPP1R1A',
  'PPP1CC',
  'PPP1CA',
  'PPP1CB',
  'MAPK3',
  'RPS6KA1',
  'MAPK1',
  'HRAS',
  'ITPR1',
  'EP300',
  'ITPR2',
  'KRAS',
  'PRKX',
  'ARAF',
  'CALML5',
  'ADCY1',
  'RAP1A',
  'RAPGEF3',
  'CAMK4',
  'CAMK2A',
  'RAP1B',
  'CAMK2B',
  'CAMK2D',
  'CAMK2G',
  'PRKACA',
  'GNAQ',
  'PRKACB',
  'PRKACG',
  'PPP3CB',
  'CALML3',
  'PPP3CA',
  'ATF4',
  'CALM3',
  'CHP',
  'CALML6'],
 'KEGG_VIRAL_MYOCARDITIS': ['CASP9',
  'LOC100418883',
  'CASP8',
  'HLA-DOA',
  'HLA-DOB',
  'CD80',
  'CD86',
  'CD28',
  'EIF4G3',
  'ITGAL',
  'ICAM1',
  'CXADR',
  'MYH13',
  'HLA-C',
  'HLA-B',
  'MYH14',
  'HLA-DMB',
  'HLA-DMA',
  'MYH1',
  'HLA-A',
  'DMD',
  'MYH15',
  'RAC2',
  'LOC646821',
  'BID',
  'HLA-G',
  'RAC3',
  'ABL1',
  'ABL2',
  'CASP3',
  'EIF4G2',
  'PRF1',
  'EIF4G1',
  'ITGB2',
  'ACTG1',
  'RAC1',
  'SGCD',
  'HLA-DRB4',
  'SGCG',
  'HLA-DRB5',
  'SGCA',
  'SGCB',
  'HLA-DRB3',
  'DAG1',
  'CD55',
  'LAMA2',
  'LOC652614',
  'ACTB',
  'HLA-F',
  'HLA-E',
  'CD40LG',
  'CCND1',
  'HLA-DPA1',
  'CD40',
  'HLA-DPB1',
  'MYH7B',
  'HLA-DQA1',
  'HLA-DQA2',
  'HLA-DQB1',
  'CAV1',
  'MYH3',
  'MYH2',
  'CYCS',
  'MYH4',
  'MYH7',
  'MYH6',
  'MYH9',
  'MYH8',
  'MYH11',
  'FYN',
  'MYH10',
  'HLA-DRB1',
  'HLA-DRA'],
 'KEGG_ECM_RECEPTOR_INTERACTION': ['GP1BA',
  'COL6A2',
  'COL6A3',
  'GP1BB',
  'COL5A2',
  'COL6A1',
  'LAMA1',
  'VWF',
  'HSPG2',
  'TNN',
  'FN1',
  'ITGA9',
  'GP9',
  'COMP',
  'IBSP',
  'CD36',
  'CHAD',
  'GP5',
  'VTN',
  'THBS4',
  'ITGA4',
  'ITGA3',
  'ITGA2B',
  'ITGA7',
  'ITGA5',
  'COL5A1',
  'COL4A6',
  'ITGA11',
  'SV2C',
  'COL2A1',
  'COL3A1',
  'COL4A1',
  'AGRN',
  'COL4A2',
  'COL4A4',
  'ITGB3',
  'ITGB4',
  'RELN',
  'ITGB5',
  'ITGB6',
  'ITGB7',
  'LAMC2',
  'ITGAV',
  'ITGB1',
  'LAMB2',
  'SPP1',
  'LAMB3',
  'LAMC1',
  'COL1A1',
  'LAMA4',
  'LAMA5',
  'LAMB1',
  'COL1A2',
  'ITGA10',
  'GP6',
  'ITGA8',
  'LAMB4',
  'TNR',
  'CD47',
  'SV2A',
  'CD44',
  'DAG1',
  'TNXB',
  'LAMA3',
  'LAMA2',
  'SDC3',
  'ITGB8',
  'ITGA6',
  'ITGA2',
  'ITGA1',
  'SV2B',
  'TNC',
  'COL11A1',
  'LAMC3',
  'COL11A2',
  'HMMR',
  'SDC2',
  'SDC4',
  'COL5A3',
  'THBS3',
  'COL6A6',
  'THBS2',
  'SDC1',
  'THBS1'],
 'KEGG_LEUKOCYTE_TRANSENDOTHELIAL_MIGRATION': ['CDH5',
  'JAM3',
  'MLLT4',
  'LOC100418883',
  'TXK',
  'ITGAL',
  'ITGAM',
  'ITGA4',
  'SIPA1',
  'ROCK1',
  'MMP2',
  'PTK2',
  'MYL7',
  'NCF4',
  'MMP9',
  'NCF2',
  'CLDN20',
  'PECAM1',
  'VAV1',
  'VASP',
  'VCAM1',
  'ITGB1',
  'MYL12A',
  'THY1',
  'VAV2',
  'ITGB2',
  'CTNNA1',
  'JAM2',
  'PIK3R5',
  'CLDN18',
  'MAPK14',
  'MAPK12',
  'VCL',
  'CLDN17',
  'GNAI1',
  'MYL2',
  'GNAI2',
  'CTNND1',
  'MYL5',
  'PXN',
  'RAPGEF3',
  'MYL10',
  'ARHGAP5',
  'BCAR1',
  'GNAI3',
  'CLDN16',
  'CLDN23',
  'EZR',
  'CXCL12',
  'PLCG1',
  'PLCG2',
  'PTK2B',
  'RHOH',
  'OCLN',
  'CDC42',
  'ACTN2',
  'ACTN3',
  'PTPN11',
  'PRKCB',
  'PRKCA',
  'CLDN10',
  'CLDN8',
  'CLDN2',
  'CLDN6',
  'MYL9',
  'CLDN5',
  'CLDN1',
  'ICAM1',
  'RHOA',
  'CXCR4',
  'ESAM',
  'ACTN4',
  'PRKCG',
  'ACTN1',
  'MYLPF',
  'F11R',
  'NOX1',
  'CLDN19',
  'RAC2',
  'MAPK11',
  'LOC646821',
  'MAPK13',
  'CLDN15',
  'CD99',
  'CLDN22',
  'ARHGAP35',
  'ACTG1',
  'RAC1',
  'ITK',
  'CTNNA2',
  'RASSF5',
  'CTNNB1',
  'CLDN11',
  'CLDN7',
  'MYL12B',
  'CLDN4',
  'CLDN3',
  'ACTB',
  'ROCK2',
  'RAP1A',
  'PIK3R3',
  'RAP1B',
  'CLDN14',
  'PIK3CA',
  'CLDN9',
  'MSN',
  'PIK3CB',
  'PIK3CD',
  'NCF1',
  'CTNNA3',
  'NOX3',
  'RAPGEF4',
  'CYBA',
  'PIK3CG',
  'VAV3',
  'CYBB',
  'PIK3R1',
  'PIK3R2'],
 'KEGG_MELANOGENESIS': ['CALM2',
  'CALM1',
  'TYR',
  'CREB3L1',
  'FZD1',
  'FZD4',
  'FZD6',
  'FZD7',
  'LEF1',
  'CREBBP',
  'CREB3',
  'FZD8',
  'FZD9',
  'POMC',
  'WNT9B',
  'WNT9A',
  'CREB1',
  'WNT2B',
  'WNT11',
  'EDN1',
  'WNT10B',
  'NRAS',
  'EDNRB',
  'LOC652799',
  'KRAS',
  'PRKX',
  'GNAI1',
  'GNAI2',
  'CALML5',
  'ADCY3',
  'ADCY2',
  'ADCY1',
  'CREB3L3',
  'WNT5B',
  'CAMK2A',
  'CAMK2B',
  'CAMK2D',
  'CAMK2G',
  'PRKACA',
  'GNAQ',
  'PRKACB',
  'PRKACG',
  'GNAS',
  'GNAI3',
  'WNT16',
  'GNAO1',
  'CALML3',
  'DCT',
  'CALM3',
  'PLCB2',
  'ADCY8',
  'ADCY9',
  'PLCB1',
  'ADCY6',
  'ADCY7',
  'PRKCB',
  'RAF1',
  'PLCB3',
  'PRKCA',
  'PLCB4',
  'ADCY5',
  'CREB3L4',
  'ASIP',
  'KITLG',
  'PRKCG',
  'MC1R',
  'WNT3A',
  'DVL3',
  'DVL2',
  'MAP2K2',
  'MAP2K1',
  'KIT',
  'FZD3',
  'DVL1',
  'ADCY4',
  'TYRP1',
  'WNT4',
  'WNT10A',
  'MAPK3',
  'TCF7',
  'MAPK1',
  'TCF7L2',
  'HRAS',
  'WNT1',
  'EP300',
  'GSK3B',
  'WNT7A',
  'WNT7B',
  'WNT8A',
  'WNT8B',
  'WNT2',
  'WNT3',
  'WNT5A',
  'CTNNB1',
  'WNT6',
  'FZD10',
  'CREB3L2',
  'FZD5',
  'TCF7L1',
  'MITF',
  'FZD2',
  'CALML6'],
 'KEGG_PROXIMAL_TUBULE_BICARBONATE_RECLAMATION': ['SLC25A10',
  'GLUD2',
  'PCK2',
  'CA2',
  'CA4',
  'PCK1',
  'GLS2',
  'FXYD2',
  'MDH1',
  'SLC38A3',
  'ATP1A1',
  'GLUD1',
  'ATP1A3',
  'SLC4A4',
  'ATP1A2',
  'GLS',
  'ATP1B2',
  'ATP1B3',
  'ATP1A4',
  'ATP1B1',
  'AQP1',
  'ATP1B4',
  'SLC9A3'],
 'KEGG_GLYCOLYSIS_GLUCONEOGENESIS': ['ACSS2',
  'GCK',
  'PGK2',
  'PGK1',
  'PDHB',
  'PDHA1',
  'PDHA2',
  'PGM2',
  'TPI1',
  'ACSS1',
  'FBP1',
  'ADH1B',
  'HK2',
  'ADH1C',
  'HK1',
  'HK3',
  'ADH4',
  'PGAM2',
  'ADH5',
  'PGAM1',
  'ADH1A',
  'ALDOC',
  'ALDH7A1',
  'LDHAL6B',
  'PKLR',
  'LDHAL6A',
  'ENO1',
  'PKM2',
  'PFKP',
  'BPGM',
  'PCK2',
  'PCK1',
  'ALDH1B1',
  'ALDH2',
  'ALDH3A1',
  'AKR1A1',
  'FBP2',
  'PFKM',
  'PFKL',
  'LDHC',
  'GAPDH',
  'ENO3',
  'ENO2',
  'PGAM4',
  'ADH7',
  'ADH6',
  'LDHB',
  'ALDH1A3',
  'ALDH3B1',
  'ALDH3B2',
  'ALDH9A1',
  'ALDH3A2',
  'GALM',
  'ALDOA',
  'DLD',
  'DLAT',
  'ALDOB',
  'G6PC2',
  'LDHA',
  'G6PC',
  'PGM1',
  'GPI'],
 'KEGG_PANTOTHENATE_AND_COA_BIOSYNTHESIS': ['PPCS',
  'ENPP3',
  'PANK3',
  'PPCDC',
  'ENPP1',
  'VNN2',
  'VNN1',
  'PANK1',
  'PANK4',
  'UPB1',
  'DPYS',
  'COASY',
  'DPYD',
  'PANK2',
  'BCAT1',
  'BCAT2'],
 'KEGG_P53_SIGNALING_PATHWAY': ['CASP9',
  'CASP8',
  'SFN',
  'TSC2',
  'IGF1',
  'CDK1',
  'GADD45B',
  'RCHY1',
  'ZMAT3',
  'IGFBP3',
  'RRM2B',
  'BAI1',
  'TP73',
  'SERPINB5',
  'RPRM',
  'PPM1D',
  'BID',
  'MDM4',
  'BAX',
  'MDM2',
  'TP53AIP1',
  'CASP3',
  'TP53I3',
  'PMAIP1',
  'PIDD',
  'RFWD2',
  'PERP',
  'GADD45G',
  'EI24',
  'SESN2',
  'ATM',
  'ATR',
  'SESN3',
  'CHEK2',
  'APAF1',
  'CDKN2A',
  'RRM2',
  'CDKN1A',
  'BBC3',
  'GADD45A',
  'TNFRSF10B',
  'DDB2',
  'GTSE1',
  'SIAH1',
  'CCND1',
  'CD82',
  'PTEN',
  'CDK2',
  'CHEK1',
  'SESN1',
  'CDK4',
  'SERPINE1',
  'TP53',
  'CCNE2',
  'FAS',
  'CDK6',
  'CYCS',
  'STEAP3',
  'CCNB2',
  'LOC651610',
  'CCND2',
  'SHISA5',
  'CCNB1',
  'CCNG1',
  'CCNE1',
  'CCNB3',
  'THBS1',
  'CCNG2',
  'CCND3'],
 'KEGG_CHRONIC_MYELOID_LEUKEMIA': ['SOS2',
  'E2F1',
  'CHUK',
  'PTPN11',
  'RAF1',
  'SHC1',
  'BAD',
  'CTBP2',
  'CTBP1',
  'MAP2K2',
  'BRAF',
  'MECOM',
  'MAP2K1',
  'IKBKB',
  'MDM2',
  'RB1',
  'ABL1',
  'AKT1',
  'AKT2',
  'SHC4',
  'AKT3',
  'NRAS',
  'GRB2',
  'STAT5B',
  'SMAD3',
  'MAPK3',
  'STAT5A',
  'SMAD4',
  'NFKB1',
  'NFKBIA',
  'SOS1',
  'MYC',
  'MAPK1',
  'RUNX1',
  'PIK3R5',
  'IKBKG',
  'HRAS',
  'RELA',
  'GAB2',
  'CBLB',
  'CDKN2A',
  'KRAS',
  'CBL',
  'SHC3',
  'CDKN1B',
  'CDKN1A',
  'TGFB2',
  'TGFB1',
  'ARAF',
  'TGFBR2',
  'TGFBR1',
  'TGFB3',
  'CCND1',
  'PIK3R3',
  'BCL2L1',
  'CDK4',
  'CBLC',
  'TP53',
  'E2F3',
  'E2F2',
  'CRK',
  'PIK3CA',
  'PIK3CB',
  'CDK6',
  'CRKL',
  'PIK3CD',
  'SHC2',
  'HDAC1',
  'BCR',
  'HDAC2',
  'PIK3CG',
  'PIK3R1',
  'PIK3R2'],
 'KEGG_VALINE_LEUCINE_AND_ISOLEUCINE_DEGRADATION': ['AOX1',
  'ALDH1B1',
  'ACADS',
  'ACADSB',
  'ABAT',
  'ALDH2',
  'ACADM',
  'ACAT2',
  'HSD17B10',
  'ACAT1',
  'OXCT1',
  'ACAA2',
  'IL4I1',
  'HADH',
  'MCEE',
  'HADHB',
  'DBT',
  'HADHA',
  'ALDH6A1',
  'HMGCL',
  'IVD',
  'BCKDHB',
  'ACAD8',
  'ECHS1',
  'ALDH9A1',
  'ALDH3A2',
  'PCCB',
  'HIBCH',
  'DLD',
  'HMGCS2',
  'EHHADH',
  'HMGCS1',
  'PCCA',
  'ALDH7A1',
  'HIBADH',
  'ACAA1',
  'OXCT2',
  'MUT',
  'MCCC2',
  'BCAT1',
  'AUH',
  'BCAT2',
  'BCKDHA',
  'MCCC1'],
 'KEGG_TRYPTOPHAN_METABOLISM': ['MAOB',
  'MAOA',
  'IDO2',
  'AOX1',
  'ALDH1B1',
  'AANAT',
  'ALDH2',
  'WARS',
  'IDO1',
  'CAT',
  'ACAT2',
  'ACAT1',
  'IL4I1',
  'HADH',
  'OGDH',
  'TPH1',
  'HADHA',
  'DDC',
  'AFMID',
  'CYP1A1',
  'CYP1A2',
  'CYP1B1',
  'ASMT',
  'ECHS1',
  'ALDH9A1',
  'KMO',
  'ALDH3A2',
  'WARS2',
  'EHHADH',
  'OGDHL',
  'GCDH',
  'ALDH7A1',
  'ABP1',
  'INMT',
  'TDO2',
  'HAAO',
  'KYNU',
  'AADAT',
  'TPH2',
  'ACMSD'],
 'KEGG_T_CELL_RECEPTOR_SIGNALING_PATHWAY': ['JUN',
  'ZAP70',
  'MALT1',
  'CD28',
  'PDPK1',
  'PPP3R2',
  'PPP3CC',
  'PPP3R1',
  'PAK4',
  'ICOS',
  'VAV1',
  'IKBKB',
  'MAP3K8',
  'MAP3K7',
  'AKT1',
  'AKT2',
  'NRAS',
  'AKT3',
  'VAV2',
  'CHP2',
  'NFAT5',
  'NFKB1',
  'NFKBIB',
  'NFKBIA',
  'PAK6',
  'NFKBIE',
  'NCK1',
  'CTLA4',
  'CSF2',
  'PIK3R5',
  'CD4',
  'NFATC4',
  'MAPK14',
  'MAPK12',
  'NFATC3',
  'RELA',
  'KRAS',
  'CD8A',
  'CD8B',
  'CD247',
  'NCK2',
  'MAP3K14',
  'PAK7',
  'CD3D',
  'CD3E',
  'PAK1',
  'CD3G',
  'CBLC',
  'LCP2',
  'PLCG1',
  'NFATC2',
  'NFATC1',
  'LCK',
  'CDC42',
  'RASGRP1',
  'SOS2',
  'PAK3',
  'CHUK',
  'RAF1',
  'TNF',
  'CARD11',
  'PAK2',
  'RHOA',
  'PTPN6',
  'PDCD1',
  'MAPK9',
  'MAPK11',
  'MAP2K2',
  'PRKCQ',
  'MAPK13',
  'MAP2K1',
  'MAP2K7',
  'GRAP2',
  'GRB2',
  'MAPK3',
  'IL10',
  'PTPRC',
  'SOS1',
  'MAPK1',
  'HRAS',
  'IKBKG',
  'TEC',
  'GSK3B',
  'CBLB',
  'CBL',
  'ITK',
  'LAT',
  'IFNG',
  'IL2',
  'CD40LG',
  'PIK3R3',
  'CDK4',
  'PPP3CB',
  'DLG1',
  'PPP3CA',
  'PIK3CA',
  'PIK3CB',
  'PIK3CD',
  'BCL10',
  'IL4',
  'FYN',
  'IL5',
  'FOS',
  'PIK3CG',
  'VAV3',
  'PIK3R1',
  'PIK3R2',
  'CHP'],
 'KEGG_DNA_REPLICATION': ['DNA2',
  'POLE4',
  'POLE3',
  'PRIM1',
  'PRIM2',
  'POLD4',
  'RFC4',
  'RFC5',
  'RPA1',
  'POLA1',
  'RPA3',
  'POLD3',
  'RNASEH2B',
  'RPA2',
  'PCNA',
  'RPA4',
  'RNASEH1',
  'RNASEH2C',
  'MCM4',
  'POLE2',
  'MCM3',
  'MCM6',
  'MCM5',
  'POLA2',
  'MCM7',
  'POLD1',
  'POLD2',
  'RNASEH2A',
  'POLE',
  'RFC1',
  'RFC3',
  'RFC2',
  'MCM2',
  'FEN1',
  'LIG1',
  'SSBP1'],
 'KEGG_PENTOSE_PHOSPHATE_PATHWAY': ['RPE',
  'RPIA',
  'PGM2',
  'PGLS',
  'PRPS2',
  'FBP2',
  'PFKM',
  'PFKL',
  'TALDO1',
  'TKT',
  'FBP1',
  'TKTL2',
  'PGD',
  'RBKS',
  'ALDOA',
  'ALDOC',
  'ALDOB',
  'H6PD',
  'LOC729020',
  'PRPS1L1',
  'PRPS1',
  'DERA',
  'G6PD',
  'PGM1',
  'TKTL1',
  'PFKP',
  'GPI'],
 'KEGG_MISMATCH_REPAIR': ['MLH3',
  'POLD1',
  'MLH1',
  'POLD2',
  'RFC1',
  'MSH2',
  'RFC3',
  'RFC2',
  'MSH3',
  'POLD4',
  'PMS2',
  'RFC4',
  'LIG1',
  'RFC5',
  'RPA1',
  'MSH6',
  'RPA3',
  'POLD3',
  'RPA2',
  'PCNA',
  'SSBP1',
  'RPA4',
  'EXO1'],
 'KEGG_COLORECTAL_CANCER': ['JUN',
  'CASP9',
  'RAF1',
  'BIRC5',
  'APC2',
  'RHOA',
  'LEF1',
  'MSH6',
  'BAD',
  'MAPK9',
  'MAPK10',
  'RAC2',
  'RAC3',
  'BRAF',
  'MLH1',
  'MAP2K1',
  'BAX',
  'AKT1',
  'CASP3',
  'AKT2',
  'AKT3',
  'AXIN1',
  'AXIN2',
  'SMAD3',
  'MAPK3',
  'SMAD4',
  'TCF7',
  'RAC1',
  'MYC',
  'TCF7L2',
  'SMAD2',
  'MAPK1',
  'PIK3R5',
  'MAPK8',
  'APPL1',
  'GSK3B',
  'KRAS',
  'CTNNB1',
  'TGFB2',
  'TGFB1',
  'ARAF',
  'TGFBR2',
  'TGFBR1',
  'TGFB3',
  'CCND1',
  'PIK3R3',
  'BCL2',
  'TCF7L1',
  'MSH2',
  'APC',
  'RALGDS',
  'TP53',
  'MSH3',
  'PIK3CA',
  'PIK3CB',
  'CYCS',
  'PIK3CD',
  'FOS',
  'PIK3CG',
  'DCC',
  'PIK3R1',
  'PIK3R2'],
 'KEGG_TGF_BETA_SIGNALING_PATHWAY': ['TFDP1',
  'NOG',
  'TNF',
  'GDF7',
  'INHBB',
  'INHBC',
  'COMP',
  'INHBA',
  'THBS4',
  'RHOA',
  'CREBBP',
  'ROCK1',
  'ID1',
  'ID2',
  'RPS6KB1',
  'RPS6KB2',
  'CUL1',
  'LOC728622',
  'ID4',
  'SMAD3',
  'MAPK3',
  'RBL2',
  'SMAD4',
  'RBL1',
  'NODAL',
  'SMAD1',
  'MYC',
  'SMAD2',
  'MAPK1',
  'SMURF2',
  'SMURF1',
  'EP300',
  'BMP8A',
  'GDF5',
  'SKP1',
  'CHRD',
  'TGFB2',
  'TGFB1',
  'IFNG',
  'CDKN2B',
  'PPP2CB',
  'PPP2CA',
  'PPP2R1A',
  'ID3',
  'SMAD5',
  'RBX1',
  'FST',
  'PITX2',
  'PPP2R1B',
  'TGFBR2',
  'AMHR2',
  'LTBP1',
  'LEFTY1',
  'AMH',
  'TGFBR1',
  'SMAD9',
  'LEFTY2',
  'SMAD7',
  'ROCK2',
  'TGFB3',
  'SMAD6',
  'BMPR2',
  'GDF6',
  'BMPR1A',
  'BMPR1B',
  'ACVRL1',
  'ACVR2B',
  'ACVR2A',
  'ACVR1',
  'BMP4',
  'E2F5',
  'BMP2',
  'ACVR1C',
  'E2F4',
  'SP1',
  'BMP7',
  'BMP8B',
  'ZFYVE9',
  'BMP5',
  'BMP6',
  'ZFYVE16',
  'THBS3',
  'INHBE',
  'THBS2',
  'DCN',
  'THBS1'],
 'KEGG_ASCORBATE_AND_ALDARATE_METABOLISM': ['UGT1A10',
  'UGT1A8',
  'UGT1A7',
  'UGT1A6',
  'ALDH1B1',
  'UGT2B28',
  'ALDH2',
  'UGT1A5',
  'MIOX',
  'UGDH',
  'UGT2A1',
  'ALDH9A1',
  'ALDH3A2',
  'UGT1A9',
  'ALDH7A1',
  'UGT2B11',
  'UGT2B10',
  'UGT2B7',
  'UGT2B4',
  'UGT2A3',
  'UGT1A4',
  'UGT1A1',
  'UGT2B17',
  'UGT1A3',
  'UGT2B15'],
 'KEGG_METABOLISM_OF_XENOBIOTICS_BY_CYTOCHROME_P450': ['CYP2F1',
  'CYP2E1',
  'AKR1C4',
  'EPHX1',
  'CYP3A5',
  'UGT2B28',
  'CYP3A4',
  'GSTP1',
  'GSTT2',
  'GSTT1',
  'AKR1C3',
  'GSTZ1',
  'CYP2C18',
  'ADH1B',
  'CYP2S1',
  'ADH1C',
  'ADH4',
  'ADH5',
  'GSTO1',
  'ADH1A',
  'GSTA5',
  'MGST2',
  'MGST1',
  'MGST3',
  'GSTA3',
  'GSTM1',
  'UGT2B11',
  'CYP2C9',
  'GSTA4',
  'CYP2C19',
  'GSTM4',
  'CYP2C8',
  'GSTM3',
  'CYP2B6',
  'GSTM2',
  'UGT2A3',
  'UGT1A4',
  'UGT1A1',
  'CYP3A7',
  'UGT1A3',
  'GSTM5',
  'UGT1A10',
  'UGT1A8',
  'UGT1A7',
  'GSTA1',
  'UGT1A6',
  'GSTA2',
  'ALDH3A1',
  'UGT1A5',
  'GSTK1',
  'AKR1C2',
  'AKR1C1',
  'CYP1A1',
  'ADH7',
  'CYP1A2',
  'CYP1B1',
  'ADH6',
  'UGT2A1',
  'ALDH1A3',
  'ALDH3B1',
  'ALDH3B2',
  'CYP3A43',
  'UGT1A9',
  'DHDH',
  'GSTO2',
  'UGT2B10',
  'UGT2B7',
  'UGT2B4',
  'UGT2B17',
  'UGT2B15'],
 'KEGG_ALLOGRAFT_REJECTION': ['HLA-DRB4',
  'HLA-DRB5',
  'HLA-DOA',
  'HLA-DOB',
  'HLA-DRB3',
  'CD80',
  'CD86',
  'CD28',
  'TNF',
  'IFNG',
  'LOC652614',
  'HLA-C',
  'HLA-B',
  'HLA-DMB',
  'HLA-DMA',
  'HLA-F',
  'HLA-E',
  'HLA-A',
  'IL2',
  'CD40LG',
  'HLA-DPA1',
  'CD40',
  'IL12B',
  'HLA-DPB1',
  'HLA-DQA1',
  'HLA-G',
  'HLA-DQA2',
  'IL12A',
  'HLA-DQB1',
  'PRF1',
  'FAS',
  'FASLG',
  'GZMB',
  'IL4',
  'IL5',
  'IL10',
  'HLA-DRB1',
  'HLA-DRA'],
 'KEGG_GLYCOSAMINOGLYCAN_DEGRADATION': ['HS3ST3A1',
  'HPSE',
  'HPSE2',
  'GLB1',
  'GUSB',
  'HYAL3',
  'GNS',
  'HYAL4',
  'HYAL1',
  'HYAL2',
  'SPAM1',
  'HGSNAT',
  'GALNS',
  'IDUA',
  'HS3ST3B1',
  'SGSH',
  'HEXB',
  'NAGLU',
  'HEXA',
  'IDS',
  'ARSB'],
 'KEGG_BASAL_TRANSCRIPTION_FACTORS': ['TBPL2',
  'TAF1L',
  'TAF2',
  'TAF4',
  'TAF7L',
  'TAF1',
  'TAF9B',
  'GTF2A1L',
  'STON1',
  'TBP',
  'GTF2A1',
  'GTF2B',
  'GTF2A2',
  'TAF11',
  'TAF12',
  'TAF5L',
  'TAF13',
  'GTF2IRD1',
  'TAF9',
  'TAF10',
  'GTF2H2',
  'LOC391764',
  'TAF7',
  'GTF2H1',
  'TAF6L',
  'GTF2F2',
  'GTF2F1',
  'GTF2E2',
  'TAF4B',
  'TAF6',
  'GTF2E1',
  'TAF5',
  'GTF2I',
  'GTF2H4',
  'TBPL1',
  'GTF2H3'],
 'KEGG_HEMATOPOIETIC_CELL_LINEAGE': ['GP1BA',
  'GP1BB',
  'EPO',
  'IL9R',
  'CD33',
  'TNF',
  'GP9',
  'ITGAM',
  'CD34',
  'CD36',
  'GP5',
  'ITGA4',
  'ITGA3',
  'KITLG',
  'ITGA2B',
  'FCGR1A',
  'ITGA5',
  'FCER2',
  'GYPA',
  'THPO',
  'IL1R2',
  'IL7R',
  'MME',
  'IL11RA',
  'CD19',
  'MS4A1',
  'TFRC',
  'CD22',
  'KIT',
  'FLT3',
  'ITGB3',
  'FLT3LG',
  'IL1A',
  'CR2',
  'CD14',
  'CR1',
  'TPO',
  'EPOR',
  'IL11',
  'CSF2',
  'HLA-DRB4',
  'CD4',
  'CSF1R',
  'HLA-DRB5',
  'CSF1',
  'HLA-DRB3',
  'IL3RA',
  'IL3',
  'CD59',
  'LOC652799',
  'CD9',
  'CD8A',
  'CD8B',
  'CD44',
  'CD7',
  'CD5',
  'CSF2RA',
  'CD55',
  'DNTT',
  'CSF3',
  'IL1B',
  'IL1R1',
  'IL2RA',
  'ITGA6',
  'IL6R',
  'ITGA2',
  'ITGA1',
  'CSF3R',
  'IL7',
  'CD37',
  'CD2',
  'CD3D',
  'CD3E',
  'CD38',
  'CD3G',
  'CD1B',
  'ANPEP',
  'CD1C',
  'CD1D',
  'CD1E',
  'CD1A',
  'IL4',
  'IL4R',
  'IL5',
  'IL5RA',
  'IL6',
  'HLA-DRB1',
  'HLA-DRA'],
 'KEGG_PEROXISOME': ['EPHX2',
  'XDH',
  'BAAT',
  'MVK',
  'CAT',
  'NUDT19',
  'PMVK',
  'PEX16',
  'HAO2',
  'FAR2',
  'PRDX5',
  'HMGCL',
  'PHYH',
  'DDO',
  'ACSL6',
  'AGPS',
  'SOD1',
  'SOD2',
  'MPV17L',
  'NOS2',
  'HAO1',
  'HSD17B4',
  'CRAT',
  'PAOX',
  'ACOX2',
  'PEX11G',
  'ACOX3',
  'AMACR',
  'PEX5',
  'MLYCD',
  'ACOT8',
  'ACAA1',
  'SLC27A2',
  'SLC25A17',
  'MPV17',
  'PIPOX',
  'FAR1',
  'DAO',
  'ABCD1',
  'DECR2',
  'SCP2',
  'HACL1',
  'GSTK1',
  'PEX1',
  'NUDT12',
  'ABCD4',
  'ABCD3',
  'PEX11B',
  'PEX19',
  'ECH1',
  'IDH2',
  'IDH1',
  'DHRS4',
  'GNPAT',
  'PEX2',
  'PXMP2',
  'PEX26',
  'PEX3',
  'PEX6',
  'PXMP4',
  'PEX10',
  'ABCD2',
  'PEX7',
  'ACSL5',
  'PEX13',
  'PEX12',
  'EHHADH',
  'PEX14',
  'AGXT',
  'PRDX1',
  'PECR',
  'ACSL1',
  'PEX11A',
  'ACOX1',
  'ECI2',
  'CROT',
  'ACSL3',
  'ACSL4'],
 'KEGG_TOLL_LIKE_RECEPTOR_SIGNALING_PATHWAY': ['JUN',
  'CD80',
  'CD86',
  'STAT1',
  'TLR9',
  'CCL3',
  'MYD88',
  'CCL5',
  'MAP2K4',
  'CCL4',
  'LBP',
  'RIPK1',
  'TLR6',
  'IKBKB',
  'LY96',
  'MAP3K8',
  'MAP3K7',
  'AKT1',
  'AKT2',
  'CD14',
  'CTSK',
  'AKT3',
  'SPP1',
  'IKBKE',
  'NFKB1',
  'NFKBIA',
  'PIK3R5',
  'TLR5',
  'TIRAP',
  'MAPK14',
  'MAPK12',
  'RELA',
  'TRAF6',
  'TRAF3',
  'TOLLIP',
  'CXCL11',
  'TAB2',
  'TLR7',
  'TLR8',
  'CXCL10',
  'CASP8',
  'TICAM1',
  'CHUK',
  'TNF',
  'IFNA5',
  'IFNA4',
  'IFNA2',
  'FADD',
  'IFNA1',
  'IRAK4',
  'IL8',
  'MAPK9',
  'IL12B',
  'MAPK10',
  'MAPK11',
  'MAP2K2',
  'MAP2K3',
  'IL12A',
  'MAPK13',
  'MAP2K1',
  'MAP2K7',
  'MAP2K6',
  'IFNA17',
  'IFNA21',
  'IFNA6',
  'IFNA7',
  'IFNA8',
  'IFNA10',
  'IFNA13',
  'IFNA14',
  'IFNA16',
  'MAPK3',
  'RAC1',
  'MAPK1',
  'IRF3',
  'IKBKG',
  'MAPK8',
  'IFNB1',
  'IFNAR1',
  'IFNAR2',
  'TICAM2',
  'IL1B',
  'IRAK1',
  'CD40',
  'PIK3R3',
  'TBK1',
  'PIK3CA',
  'CXCL9',
  'PIK3CB',
  'PIK3CD',
  'TLR3',
  'TLR4',
  'TAB1',
  'TLR1',
  'FOS',
  'TLR2',
  'IRF5',
  'PIK3CG',
  'IL6',
  'PIK3R1',
  'IRF7',
  'PIK3R2'],
 'KEGG_PROPANOATE_METABOLISM': ['ACSS2',
  'ALDH1B1',
  'ABAT',
  'LOC283398',
  'ALDH2',
  'ACADM',
  'ACAT2',
  'ACAT1',
  'LDHC',
  'MCEE',
  'HADHA',
  'ALDH6A1',
  'ACSS1',
  'LDHB',
  'ECHS1',
  'ALDH9A1',
  'ALDH3A2',
  'PCCB',
  'HIBCH',
  'EHHADH',
  'PCCA',
  'ALDH7A1',
  'LDHAL6B',
  'SUCLG1',
  'MLYCD',
  'LDHA',
  'SUCLA2',
  'ACACB',
  'MUT',
  'SUCLG2',
  'ACACA',
  'ACSS3',
  'LDHAL6A'],
 'KEGG_ALANINE_ASPARTATE_AND_GLUTAMATE_METABOLISM': ['GLUD2',
  'GFPT2',
  'AGXT2',
  'CPS1',
  'GLS2',
  'ABAT',
  'ADSS',
  'ADSL',
  'GLUD1',
  'GLS',
  'ASL',
  'IL4I1',
  'GPT',
  'GFPT1',
  'GPT2',
  'DDO',
  'ADSSL1',
  'ACY3',
  'GAD1',
  'GAD2',
  'GOT2',
  'AGXT',
  'GLUL',
  'NIT2',
  'GOT1',
  'ALDH4A1',
  'CAD',
  'ALDH5A1',
  'ASS1',
  'ASNS',
  'PPAT',
  'ASPA'],
 'KEGG_PORPHYRIN_AND_CHLOROPHYLL_METABOLISM': ['ALAS1',
  'COX10',
  'UGT1A10',
  'ALAS2',
  'UGT1A8',
  'UGT1A7',
  'ALAD',
  'UGT1A6',
  'CPOX',
  'BLVRA',
  'UGT2B28',
  'BLVRB',
  'UGT1A5',
  'UROS',
  'HCCS',
  'UGT2A1',
  'GUSB',
  'FTMT',
  'UGT1A9',
  'MMAB',
  'FECH',
  'HMOX1',
  'HMOX2',
  'UGT2B11',
  'PPOX',
  'FTH1',
  'UGT2B10',
  'UGT2B7',
  'UROD',
  'UGT2B4',
  'COX15',
  'HMBS',
  'CP',
  'UGT2A3',
  'UGT1A4',
  'EARS2',
  'UGT2B17',
  'UGT1A1',
  'EPRS',
  'UGT2B15',
  'UGT1A3'],
 'KEGG_PPAR_SIGNALING_PATHWAY': ['SLC27A5',
  'SLC27A4',
  'SORBS1',
  'ACADL',
  'CYP4A11',
  'ACADM',
  'APOA2',
  'CD36',
  'FADS2',
  'APOA1',
  'CYP7A1',
  'SLC27A1',
  'SCD',
  'CYP8B1',
  'UCP1',
  'DBI',
  'NR1H3',
  'ACSL6',
  'ME1',
  'MMP1',
  'GK',
  'GK2',
  'APOA5',
  'RXRB',
  'RXRG',
  'PLTP',
  'PDPK1',
  'RXRA',
  'ILK',
  'APOC3',
  'ACOX2',
  'ACOX3',
  'CYP27A1',
  'OLR1',
  'CPT2',
  'ACAA1',
  'CPT1B',
  'ANGPTL4',
  'SLC27A2',
  'LPL',
  'FABP1',
  'CPT1A',
  'PCK2',
  'FABP4',
  'CPT1C',
  'FABP2',
  'PCK1',
  'SCP2',
  'PPARA',
  'AQP7',
  'PLIN1',
  'CYP4A22',
  'FABP3',
  'FABP5',
  'FABP6',
  'FABP7',
  'ACSL5',
  'ADIPOQ',
  'SLC27A6',
  'HMGCS2',
  'EHHADH',
  'UBC',
  'PPARG',
  'PPARD',
  'ACSL1',
  'SCD5',
  'ACOX1',
  'ACSL3',
  'ACSL4'],
 'KEGG_ERBB_SIGNALING_PATHWAY': ['JUN',
  'SOS2',
  'PAK3',
  'RAF1',
  'PRKCB',
  'BTC',
  'SHC1',
  'PRKCA',
  'ELK1',
  'NRG1',
  'PAK2',
  'MTOR',
  'PAK4',
  'MAP2K4',
  'EIF4EBP1',
  'BAD',
  'PRKCG',
  'NRG3',
  'MAPK9',
  'ERBB4',
  'MAPK10',
  'PTK2',
  'ERBB2',
  'ERBB3',
  'MAP2K2',
  'TGFA',
  'BRAF',
  'MAP2K1',
  'MAP2K7',
  'ABL1',
  'NRG2',
  'AKT1',
  'ABL2',
  'AKT2',
  'SHC4',
  'RPS6KB1',
  'RPS6KB2',
  'AKT3',
  'NRAS',
  'GRB2',
  'AREG',
  'STAT5B',
  'MAPK3',
  'STAT5A',
  'PAK6',
  'SOS1',
  'MYC',
  'MAPK1',
  'NCK1',
  'PIK3R5',
  'NRG4',
  'HRAS',
  'MAPK8',
  'EGFR',
  'GSK3B',
  'CBLB',
  'KRAS',
  'CBL',
  'SHC3',
  'CDKN1B',
  'CDKN1A',
  'EGF',
  'EREG',
  'ARAF',
  'NCK2',
  'PAK7',
  'SRC',
  'PIK3R3',
  'CAMK2A',
  'CAMK2B',
  'CAMK2D',
  'CAMK2G',
  'PAK1',
  'CBLC',
  'CRK',
  'PIK3CA',
  'PIK3CB',
  'CRKL',
  'PIK3CD',
  'GAB1',
  'PLCG1',
  'PLCG2',
  'SHC2',
  'HBEGF',
  'PIK3CG',
  'PIK3R1',
  'PIK3R2'],
 'KEGG_CHEMOKINE_SIGNALING_PATHWAY': ['CCL26',
  'STAT3',
  'STAT1',
  'STAT2',
  'CCL3L1',
  'CCL2',
  'GNB4',
  'CCL3',
  'ADRBK2',
  'ADRBK1',
  'CCL5',
  'CCL4',
  'CX3CR1',
  'CCL13',
  'CCL11',
  'CCL8',
  'CCL7',
  'CCL3L3',
  'ROCK1',
  'PTK2',
  'BRAF',
  'CXCL14',
  'VAV1',
  'CCL14',
  'CCL15',
  'IKBKB',
  'AKT1',
  'AKT2',
  'JAK3',
  'SHC4',
  'DOCK2',
  'JAK2',
  'CCL18',
  'GRK7',
  'ARRB2',
  'CCL17',
  'ARRB1',
  'CCL20',
  'VAV2',
  'CCL19',
  'AKT3',
  'NRAS',
  'CCL21',
  'CCL23',
  'TIAM1',
  'CCL22',
  'GNG13',
  'STAT5B',
  'NFKB1',
  'GRK1',
  'NFKBIB',
  'NFKBIA',
  'CCL16',
  'PIK3R5',
  'RELA',
  'GNG7',
  'GNG5',
  'KRAS',
  'SHC3',
  'FGR',
  'GNB3',
  'GNB2',
  'CCL24',
  'PRKX',
  'GNG4',
  'GNG3',
  'GNAI1',
  'GNG10',
  'GNAI2',
  'GNG11',
  'GNGT1',
  'CX3CL1',
  'GNGT2',
  'XCL1',
  'CXCL5',
  'ADCY3',
  'CXCL11',
  'GNG2',
  'ADCY2',
  'CXCL6',
  'ADCY1',
  'CCR9',
  'CCR2',
  'CCL25',
  'PXN',
  'CXCR3',
  'CSK',
  'CCL4L1',
  'FOXO3',
  'PRKACA',
  'BCAR1',
  'PRKACB',
  'GNB5',
  'PRKACG',
  'PAK1',
  'GNAI3',
  'CRK',
  'CXCL12',
  'CCR10',
  'GNB1',
  'CRKL',
  'CCL4L2',
  'XCR1',
  'PTK2B',
  'CDC42',
  'PLCB2',
  'SOS2',
  'ADCY8',
  'CXCL10',
  'PLCB1',
  'ADCY9',
  'ADCY6',
  'CHUK',
  'RAF1',
  'PRKCB',
  'ADCY7',
  'CXCL1',
  'SHC1',
  'PLCB3',
  'PLCB4',
  'ADCY5',
  'CXCR5',
  'CCL27',
  'WAS',
  'PREX1',
  'RHOA',
  'CXCR4',
  'CXCR2',
  'GNG8',
  'CXCR1',
  'CCL28',
  'PRKCD',
  'HCK',
  'IL8',
  'RAC2',
  'WASL',
  'RASGRP2',
  'MAP2K1',
  'ADCY4',
  'CCR3',
  'CCR4',
  'CXCR6',
  'CCR5',
  'PRKCZ',
  'CCR6',
  'CCR7',
  'CCR8',
  'GRB2',
  'MAPK3',
  'CXCL16',
  'RAC1',
  'SOS1',
  'MAPK1',
  'IKBKG',
  'HRAS',
  'GSK3B',
  'CCR1',
  'GSK3A',
  'XCL2',
  'ITK',
  'CCL1',
  'CXCL13',
  'GNG12',
  'ROCK2',
  'RAP1A',
  'PIK3R3',
  'RAP1B',
  'TIAM2',
  'PF4',
  'PPBPL1',
  'CXCL2',
  'CXCL3',
  'PF4V1',
  'GRK6',
  'PIK3CA',
  'PIK3CB',
  'CXCL9',
  'PIK3CD',
  'NCF1',
  'ELMO1',
  'SHC2',
  'PPBP',
  'GRK4',
  'PARD3',
  'GRK5',
  'PIK3CG',
  'PIK3R1',
  'VAV3',
  'LYN',
  'PIK3R2'],
 'KEGG_TIGHT_JUNCTION': ['INADL',
  'JAM3',
  'LOC100418883',
  'MLLT4',
  'CSDA',
  'PPP2R2D',
  'MAGI2',
  'MPP5',
  'TJP3',
  'MYH13',
  'ZAK',
  'EPB41L3',
  'MYH14',
  'RRAS2',
  'MYH1',
  'CTTN',
  'MYH15',
  'MYL7',
  'CRB3',
  'CLDN20',
  'AKT1',
  'AKT2',
  'MYL12A',
  'AKT3',
  'NRAS',
  'EXOC3',
  'CTNNA1',
  'JAM2',
  'CSNK2A1',
  'CLDN18',
  'LLGL1',
  'LLGL2',
  'CSNK2A2',
  'KRAS',
  'CLDN17',
  'PARD6B',
  'MAGI1',
  'GNAI1',
  'GNAI2',
  'MYL2',
  'VAPA',
  'MYL5',
  'CSNK2B',
  'SYMPK',
  'MYL10',
  'IGSF5',
  'ASH1L',
  'YES1',
  'MAGI3',
  'GNAI3',
  'CLDN16',
  'CLDN23',
  'MYH3',
  'MYH2',
  'MYH4',
  'MYH7',
  'MYH6',
  'MYH9',
  'MYH8',
  'MYH11',
  'MYH10',
  'OCLN',
  'CDC42',
  'ACTN2',
  'ACTN3',
  'PARD6A',
  'PRKCB',
  'PRKCA',
  'CLDN10',
  'CASK',
  'CLDN8',
  'CLDN2',
  'CGN',
  'CLDN6',
  'MYL9',
  'TJP2',
  'CLDN5',
  'CLDN1',
  'RHOA',
  'MPDZ',
  'PRKCI',
  'ACTN4',
  'PRKCG',
  'ACTN1',
  'PRKCH',
  'MYLPF',
  'PRKCD',
  'F11R',
  'PRKCE',
  'CLDN19',
  'LOC646821',
  'PRKCQ',
  'CLDN15',
  'PRKCZ',
  'CLDN22',
  'ACTG1',
  'RAB13',
  'HRAS',
  'CTNNA2',
  'PARD6G',
  'TJAP1',
  'SPTAN1',
  'PPP2R2A',
  'CTNNB1',
  'PPP2R2B',
  'RRAS',
  'CLDN11',
  'PPP2CB',
  'PPP2CA',
  'PPP2R1A',
  'CLDN7',
  'MYL12B',
  'PPP2R1B',
  'MRAS',
  'CLDN4',
  'EXOC4',
  'CLDN3',
  'RAB3B',
  'ACTB',
  'TJP1',
  'SRC',
  'PTEN',
  'MYH7B',
  'HCLS1',
  'CDK4',
  'AMOTL1',
  'CLDN14',
  'CLDN9',
  'PPP2R2C',
  'CTNNA3',
  'EPB41L2',
  'EPB41L1',
  'EPB41',
  'PARD3'],
 'KEGG_ACUTE_MYELOID_LEUKEMIA': ['SOS2',
  'CHUK',
  'STAT3',
  'ZBTB16',
  'RAF1',
  'RARA',
  'PML',
  'JUP',
  'MTOR',
  'CEBPA',
  'LEF1',
  'EIF4EBP1',
  'BAD',
  'PIM2',
  'MAP2K2',
  'BRAF',
  'MAP2K1',
  'KIT',
  'FLT3',
  'SPI1',
  'IKBKB',
  'AKT1',
  'AKT2',
  'RPS6KB1',
  'NRAS',
  'AKT3',
  'RPS6KB2',
  'LOC652671',
  'GRB2',
  'STAT5B',
  'MAPK3',
  'TCF7',
  'STAT5A',
  'NFKB1',
  'MYC',
  'SOS1',
  'TCF7L2',
  'MAPK1',
  'RUNX1',
  'PIK3R5',
  'IKBKG',
  'HRAS',
  'LOC652799',
  'RUNX1T1',
  'RELA',
  'KRAS',
  'LOC652346',
  'CCNA1',
  'ARAF',
  'CCND1',
  'PIK3R3',
  'TCF7L1',
  'PPARD',
  'PIK3CA',
  'PIK3CB',
  'PIM1',
  'PIK3CD',
  'PIK3CG',
  'PIK3R1',
  'PIK3R2'],
 'KEGG_MATURITY_ONSET_DIABETES_OF_THE_YOUNG': ['MNX1',
  'NEUROG3',
  'GCK',
  'HHEX',
  'HES1',
  'MAFA',
  'PAX6',
  'SLC2A2',
  'BHLHA15',
  'HNF1B',
  'HNF4G',
  'NKX6-1',
  'HNF1A',
  'FOXA3',
  'HNF4A',
  'NKX2-2',
  'ONECUT1',
  'NEUROD1',
  'INS',
  'FOXA2',
  'PAX4',
  'PDX1',
  'IAPP',
  'NR5A2',
  'PKLR']}

In [11]:

plt.rcParams["figure.figsize"] = (4, 8)
plt.rcParams['svg.fonttype'] = 'none'

for k in ['KEGG_STEROID_HORMONE_BIOSYNTHESIS', 'KEGG_PORPHYRIN_AND_CHLOROPHYLL_METABOLISM', 
          'KEGG_PENTOSE_AND_GLUCURONATE_INTERCONVERSIONS', 'KEGG_LEISHMANIA_INFECTION',
          'KEGG_DNA_REPLICATION',
            'KEGG_STARCH_AND_SUCROSE_METABOLISM',
            'KEGG_STEROID_HORMONE_BIOSYNTHESIS',
            'KEGG_RETINOL_METABOLISM',
            'KEGG_O_GLYCAN_BIOSYNTHESIS',
            'KEGG_DRUG_METABOLISM_CYTOCHROME_P450',
            'KEGG_METABOLISM_OF_XENOBIOTICS_BY_CYTOCHROME_P450',
            'KEGG_VALINE_LEUCINE_AND_ISOLEUCINE_DEGRADATION',
            'KEGG_VASCULAR_SMOOTH_MUSCLE_CONTRACTION',
            'KEGG_DRUG_METABOLISM_OTHER_ENZYMES']:
    path_df = df[df.id.isin(pathway_dict[k])]
    lbls = path_df['RG2_Changes_filtered'].values
    path_df['id'] = [f'{g} {lbls[i]}' for i, g in enumerate(path_df['id'].values)]
    path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
    path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)
    x3 = path_df['id'].values
    y3_new = path_df['Integrated mean (Late)'].values
    y2_new = path_df['Integrated mean (Early)'].values
    line_colours = ['red' if p < 0.05 else 'grey' for p in path_df['Integrated pval (Late-Early)'].values]


    plt.figure()
    plt.hlines(y=x3, xmin = y3_new , xmax = y2_new, color=line_colours)
    plt.scatter(y2_new, x3, color='green', s=50, label='Early', zorder=10)
    plt.scatter(y3_new, x3, color='orange', s=50 , label='Late', zorder=10)
    plt.legend(loc="upper left")

    # # Add title and axis names
    plt.title(k, loc='left')
    plt.savefig(f'Output_Figures/Pathways/{k}.svg')
    plt.show()

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2172697728.py:18: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['id'] = [f'{g} {lbls[i]}' for i, g in enumerate(path_df['id'].values)]
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2172697728.py:19: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2172697728.py:20: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2172697728.py:18: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['id'] = [f'{g} {lbls[i]}' for i, g in enumerate(path_df['id'].values)]
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2172697728.py:19: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2172697728.py:20: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2172697728.py:18: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['id'] = [f'{g} {lbls[i]}' for i, g in enumerate(path_df['id'].values)]
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2172697728.py:19: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2172697728.py:20: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2172697728.py:18: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['id'] = [f'{g} {lbls[i]}' for i, g in enumerate(path_df['id'].values)]
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2172697728.py:19: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2172697728.py:20: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2172697728.py:18: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['id'] = [f'{g} {lbls[i]}' for i, g in enumerate(path_df['id'].values)]
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2172697728.py:19: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2172697728.py:20: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2172697728.py:18: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['id'] = [f'{g} {lbls[i]}' for i, g in enumerate(path_df['id'].values)]
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2172697728.py:19: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2172697728.py:20: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2172697728.py:18: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['id'] = [f'{g} {lbls[i]}' for i, g in enumerate(path_df['id'].values)]
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2172697728.py:19: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2172697728.py:20: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2172697728.py:18: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['id'] = [f'{g} {lbls[i]}' for i, g in enumerate(path_df['id'].values)]
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2172697728.py:19: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2172697728.py:20: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2172697728.py:18: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['id'] = [f'{g} {lbls[i]}' for i, g in enumerate(path_df['id'].values)]
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2172697728.py:19: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2172697728.py:20: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2172697728.py:18: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['id'] = [f'{g} {lbls[i]}' for i, g in enumerate(path_df['id'].values)]
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2172697728.py:19: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2172697728.py:20: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2172697728.py:18: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['id'] = [f'{g} {lbls[i]}' for i, g in enumerate(path_df['id'].values)]
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2172697728.py:19: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2172697728.py:20: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2172697728.py:18: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['id'] = [f'{g} {lbls[i]}' for i, g in enumerate(path_df['id'].values)]
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2172697728.py:19: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2172697728.py:20: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2172697728.py:18: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['id'] = [f'{g} {lbls[i]}' for i, g in enumerate(path_df['id'].values)]
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2172697728.py:19: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2172697728.py:20: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2172697728.py:18: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['id'] = [f'{g} {lbls[i]}' for i, g in enumerate(path_df['id'].values)]
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2172697728.py:19: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2172697728.py:20: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

In [24]:

plt.rcParams["figure.figsize"] = (4, 8)
plt.rcParams['svg.fonttype'] = 'none'

for k in ['KEGG_STEROID_HORMONE_BIOSYNTHESIS', 'KEGG_PORPHYRIN_AND_CHLOROPHYLL_METABOLISM', 
          'KEGG_PENTOSE_AND_GLUCURONATE_INTERCONVERSIONS', 'KEGG_LEISHMANIA_INFECTION',
          'KEGG_DNA_REPLICATION',
            'KEGG_STARCH_AND_SUCROSE_METABOLISM',
            'KEGG_STEROID_HORMONE_BIOSYNTHESIS',
            'KEGG_RETINOL_METABOLISM',
            'KEGG_O_GLYCAN_BIOSYNTHESIS',
            'KEGG_DRUG_METABOLISM_CYTOCHROME_P450',
            'KEGG_METABOLISM_OF_XENOBIOTICS_BY_CYTOCHROME_P450',
            'KEGG_VALINE_LEUCINE_AND_ISOLEUCINE_DEGRADATION',
            'KEGG_VASCULAR_SMOOTH_MUSCLE_CONTRACTION',
            'KEGG_DRUG_METABOLISM_OTHER_ENZYMES']:
    path_df = df[df.id.isin(pathway_dict[k])]
    lbls = path_df['RG2_Changes_filtered'].values
    path_df['id'] = [f'{g} {lbls[i]}' for i, g in enumerate(path_df['id'].values)]
    path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
    path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)
    print(f'\n{k}\n')
    print('\n'.join([c.split(' ')[0] for c in path_df['id'].values]))

KEGG_STEROID_HORMONE_BIOSYNTHESIS

SRD5A3
UGT1A10
AKR1C4
UGT1A1
UGT1A7
UGT1A3
UGT1A4
UGT1A5
UGT1A6
HSD17B1
AKR1C3
AKR1C2
CYP19A1
CYP1A1
AKR1C1
CYP11A1
CYP3A4

KEGG_PORPHYRIN_AND_CHLOROPHYLL_METABOLISM

UGT1A10
UGT1A1
UGT1A7
UGT1A3
UGT1A4
UGT1A5
UGT1A6
CP
ALAD
BLVRB
ALAS2

KEGG_PENTOSE_AND_GLUCURONATE_INTERCONVERSIONS

UGT1A10
UGT1A1
UGT1A7
UGT1A3
UGT1A4
UGT1A5
UGT1A6
CRYL1

KEGG_LEISHMANIA_INFECTION

TGFB3
STAT1
C3
MARCKSL1
FOS
JUN
IL12A

KEGG_DNA_REPLICATION

MCM4
MCM2
RFC4
DNA2
MCM6
PRIM2
MCM3
LIG1
MCM5
PCNA
MCM7
FEN1

KEGG_STARCH_AND_SUCROSE_METABOLISM

HK2
PGM2L1
UGT1A10
UGT1A1
UGT1A7
UGT1A3
UGT1A4
UGT1A5
UGT1A6
MGAM
AMY2B
ENPP3
TREH
PYGM
GBA3

KEGG_STEROID_HORMONE_BIOSYNTHESIS

SRD5A3
UGT1A10
AKR1C4
UGT1A1
UGT1A7
UGT1A3
UGT1A4
UGT1A5
UGT1A6
HSD17B1
AKR1C3
AKR1C2
CYP19A1
CYP1A1
AKR1C1
CYP11A1
CYP3A4

KEGG_RETINOL_METABOLISM

UGT1A10
UGT1A1
UGT1A7
UGT1A3
UGT1A4
UGT1A5
UGT1A6
CYP1A1
ALDH1A2
ADH1C
ADH7
LRAT
ADH1B
ALDH1A1
ADH4
CYP4A11
CYP3A4

KEGG_O_GLYCAN_BIOSYNTHESIS

B3GNT6
GCNT3
GALNT14
GALNT7

KEGG_DRUG_METABOLISM_CYTOCHROME_P450

UGT1A10
UGT1A1
UGT1A7
UGT1A3
UGT1A4
UGT1A5
UGT1A6
ALDH3B2
GSTM5
GSTA4
GSTM3
GSTM4
GSTM2
GSTA1
ADH1C
GSTM1
GSTT1
ADH7
ADH1B
MAOB
MAOA
ALDH3B1
AOX1
ADH4
FMO2
FMO5
CYP3A4

KEGG_METABOLISM_OF_XENOBIOTICS_BY_CYTOCHROME_P450

UGT1A10
AKR1C4
UGT1A1
UGT1A7
UGT1A3
UGT1A4
UGT1A5
UGT1A6
AKR1C3
ALDH3B2
AKR1C2
GSTM5
CYP1A1
GSTA4
EPHX1
GSTM3
GSTM4
GSTM2
GSTA1
ADH1C
GSTM1
GSTT1
ADH7
AKR1C1
CYP2S1
ADH1B
ALDH3B1
ADH4
CYP3A4

KEGG_VALINE_LEUCINE_AND_ISOLEUCINE_DEGRADATION

IL4I1
ACAT1
PCCA
AUH
BCAT2
ACADSB
ACAA2
PCCB
ALDH6A1
ALDH7A1
ACADS
ABAT
BCKDHB
BCKDHA
ALDH2
AOX1
HMGCS2

KEGG_VASCULAR_SMOOTH_MUSCLE_CONTRACTION

KCNMB2
PPP1R14A
ADRA1A
GNAQ
PRKG1
PPP1R12B
PLCB4
MYLK
PLCB1
MYH11
PLA2G2A
PRKCQ
NPR1
CALCRL
RAMP3
CACNA1D
RAMP2
GUCY1A2
AGTR1
CYP4A11
PLA2G5
ACTG2
MYLK3

KEGG_DRUG_METABOLISM_OTHER_ENZYMES

TK1
UGT1A10
UGT1A1
UGT1A7
UGT1A3
UGT1A4
UGT1A5
UGT1A6
HPRT1
XDH
CES1
CES2
UPB1
DPYS
CYP3A4

/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2388807878.py:18: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['id'] = [f'{g} {lbls[i]}' for i, g in enumerate(path_df['id'].values)]
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2388807878.py:19: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2388807878.py:20: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2388807878.py:18: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['id'] = [f'{g} {lbls[i]}' for i, g in enumerate(path_df['id'].values)]
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2388807878.py:19: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2388807878.py:20: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2388807878.py:18: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['id'] = [f'{g} {lbls[i]}' for i, g in enumerate(path_df['id'].values)]
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2388807878.py:19: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2388807878.py:20: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2388807878.py:18: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['id'] = [f'{g} {lbls[i]}' for i, g in enumerate(path_df['id'].values)]
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2388807878.py:19: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2388807878.py:20: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2388807878.py:18: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['id'] = [f'{g} {lbls[i]}' for i, g in enumerate(path_df['id'].values)]
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2388807878.py:19: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2388807878.py:20: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2388807878.py:18: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['id'] = [f'{g} {lbls[i]}' for i, g in enumerate(path_df['id'].values)]
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2388807878.py:19: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2388807878.py:20: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2388807878.py:18: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['id'] = [f'{g} {lbls[i]}' for i, g in enumerate(path_df['id'].values)]
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2388807878.py:19: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2388807878.py:20: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2388807878.py:18: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['id'] = [f'{g} {lbls[i]}' for i, g in enumerate(path_df['id'].values)]
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2388807878.py:19: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2388807878.py:20: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2388807878.py:18: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['id'] = [f'{g} {lbls[i]}' for i, g in enumerate(path_df['id'].values)]
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2388807878.py:19: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2388807878.py:20: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2388807878.py:18: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['id'] = [f'{g} {lbls[i]}' for i, g in enumerate(path_df['id'].values)]
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2388807878.py:19: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2388807878.py:20: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2388807878.py:18: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['id'] = [f'{g} {lbls[i]}' for i, g in enumerate(path_df['id'].values)]
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2388807878.py:19: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2388807878.py:20: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2388807878.py:18: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['id'] = [f'{g} {lbls[i]}' for i, g in enumerate(path_df['id'].values)]
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2388807878.py:19: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2388807878.py:20: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2388807878.py:18: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['id'] = [f'{g} {lbls[i]}' for i, g in enumerate(path_df['id'].values)]
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2388807878.py:19: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2388807878.py:20: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2388807878.py:18: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['id'] = [f'{g} {lbls[i]}' for i, g in enumerate(path_df['id'].values)]
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2388807878.py:19: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df['avg'] = (path_df['Integrated mean (Late)'].values + path_df['Integrated mean (Early)'].values)/2
/var/folders/gq/6ljhmvm1713fykdjqbl188pm0000gn/T/ipykernel_29287/2388807878.py:20: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
  path_df.sort_values(['RG2_Changes_filtered', 'avg'], inplace=True)

In [ ]: