mabsReactome: MeanAbs Enrichment Analysis for Reactome

In signatureSearch: Environment for Gene Expression Searching Combined with Functional Enrichment Analysis

Description

MeanAbs enrichment analysis with Reactome pathways.

Usage

mabsReactome(
  geneList,
  organism = "human",
  nPerm = 1000,
  minGSSize = 5,
  maxGSSize = 500,
  pvalueCutoff = 0.05,
  pAdjustMethod = "BH",
  readable = FALSE
)

Arguments

geneList	named numeric vector with gene/target ids in the name slot decreasingly ranked by scores in the data slot.
organism	one of "human", "rat", "mouse", "celegans", "yeast", "zebrafish", "fly".
nPerm	permutation numbers
minGSSize	integer, minimum size of each gene set in annotation system
maxGSSize	integer, maximum size of each gene set in annotation system
pvalueCutoff	pvalue cutoff
pAdjustMethod	pvalue adjustment method
readable	TRUE or FALSE indicating whether to convert gene Entrez ids to gene Symbols in the 'itemID' column in the FEA result table.

Value

feaResult object

Examples

# Gene Entrez id should be used for Reactome enrichment
data(geneList, package="DOSE")
#geneList[100:length(geneList)]=0
#rc <- mabsReactome(geneList=geneList, pvalueCutoff = 1)

signatureSearch documentation built on April 16, 2021, 6 p.m.