Nothing
`avg.abs.genestat` <-
function(gene.res,probes,GS.data)
#gene.res: individual gene result
#probes: probeid
#GS.data: gene set definition data with probe and set variable
{
ugs<-unique(GS.data[,2])
ngs<-length(ugs)
nph<-dim(gene.res)[2]
res<-matrix(NA,ngs,nph)
A<-abs(gene.res)
for (i in 1:ngs)
{
gs<-is.element(GS.data[,2],ugs[i])
in.gs<-is.element(probes,GS.data[gs,1])
if (sum(in.gs)==1) res[i,] <-mean(A[in.gs,])
else res[i,]<-colMeans(A[in.gs,])
}
colnames(res)<-colnames(A)
return(res)
}
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