sircleRCM_2Cond
sircleRCM_2Cond.Rd
Computes the regulatory clustering model (RCM) using the SiRCle regulatory rules between two conditions of the same data type.
Usage
sircleRCM_2Cond(
Cond1_File,
Cond2_File,
geneID,
Cond1ValueCol = "Log2FC",
Cond1PadjCol = "padj",
Cond2ValueCol = "Log2FC",
Cond2PadjCol = "padj",
Cond1_padj_cutoff = 0.05,
Cond2_padj_cutoff = 0.05,
Cond1_FC_cutoff = 1,
Cond2_FC_cutoff = 0.5,
backgroundMethod = "C1&C2",
OutputFileName = "Sircle_RCM.csv"
)
Arguments
- geneID
Column name of geneId this MUST BE THE SAME in each of your Input files (we join on this)
- Cond1ValueCol
Column name of log fold change in Cond1File
- Cond1PadjCol
Column name of p adjusted value in Cond1File
- Cond2ValueCol
Column name of log fold change in Cond2File
- Cond2PadjCol
Column name of protein p adjusted value in Cond2File
- backgroundMethod
Optional: Background method "C1|C2", "C1&C2", "C2", "C1" or "*". For details on the method check https://github.com/ArianeMora/SiRCleR/blob/main/vignettes/SiRCle_RCM_Notebook.Rmd Default="C1&C2"
- Cond1File
DF for your data (results from e.g. DeSeq2)
- Cond2File
DF for your data (results from e.g. DeSeq2)
- Cond1PadjCutoff
Optional: Padjusted cutoff forCond1 data Default=0.05
- Cond1LogFCCutoff
Optional: LogFoldchange cutoff for Cond1 data Default=0.5
- Cond2FilePadjCutoff
Optional: Padjusted cutoff for Cond2File data Default=0.05
- Cond2FileCutoff
Optional: LogFoldchange cutoff for Cond2File data Default=0.5
- outputFileName
Optional: Output filename Default=SiRCle_RCM.csv