View source: R/enrichment_functions.R
HPEA | R Documentation |
Hyper-geometric p-value enrichment analyses, looking for over-representation of a set of genes on given pathways.
HPEA(genes, geneset, background.genes.size)
genes |
DA gene names to be checked if they are over-represented or not. |
geneset |
Pathways to be used in enrichment analyses. If not set vp2008 (Chaussabel, 2008) immune modules will be used. This can be set to any geneset using 'read.gmt' function from 'qusage' package. Different modules are available: https://www.gsea-msigdb.org/gsea/downloads.jsp. |
background.genes.size |
number of background genes for hyper-geometric p-value calculations. Default is 20,000. |
data.frame, list of pathways and their enrichment (adjusted) p-values.
library(cinaR) data("VP2008") genes.to.test <- vp2008[[1]][1:10] HPEA(genes.to.test,vp2008, background.genes.size = 20e3)
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