Calculate pathway scores
cal.pathway.scores(
data,
pathway.db,
gene.id.type,
FCflag,
FDRflag,
FC.cutoff,
FDR.cutoff,
OUT.Directional = NULL,
IS.list = FALSE,
customized.pathways,
...
)
A summary statistics table (data.frame) or data.list
generated by DE analysis software like limma or DEseq2
pathway database used
gene.id.type
The column name (character) of fold change information, assuming the FC is log2 transformed. Default = "logFC".
The column name (character) of adjusted p value or FDR. Default = "adj.P.Val".
The fold change cutoff (numeric) selected to subset summary statistics table. Default = 1.5.
The FDR cutoff selected (numeric) to subset summary statistics table. Default = 0.05.
logical, whether output directional or non-directional pathway analysis result, default: NULL.
logical, whether the input is a list, default: NULL
the customized pathways in the format of two column dataframe to be used in analysis
pass over parameters
Returns a dataframe.
Xingpeng Li & Siddhartha Pachhai RVA - RNAseq Visualization Automation tool.