DRviaSPCN (version 0.1.5)

CalCentralityScore: Calculating eigenvector centrality of subpathways

Description

The function "CalCentralityScore" is used to calculate the eigenvector centrality of subpathways.

Usage

CalCentralityScore(ExpData,Label,nperm=1000)

Value

A dataframe with seven columns those are subpathway ID, subpathway name, subpathway size, genes in subpathway, centralscore (eigenvector centrality), Pvalue and FDR.

Arguments

ExpData

A gene expression profile of interest (rows are genes, columns are samples).

Label

A character vector consist of "0" and "1" which represent sample class in gene expression profile. "0" means normal sample and "1" means disease sample.

nperm

Number of random permutations (default: 1000).

Examples

library(igraph)
#Obtain input data
GEP<-GetExample('GEP')
Slabel<-GetExample('Slabel')
#Run the function
#CentralityScoreResult<-CalCentralityScore(ExpData=GEP,Label=Slabel,nperm=1000)