library(preprocessCore)
quantNorm <- function(filename)
{
rawData<-read.table(filename,header=T,row.names=1)
mat <- as.matrix(rawData)
norm <- normalize.quantiles(mat,copy=TRUE)
normData<-data.frame(rownames(rawData),norm)
colnames(normData)<-c("ID",colnames(rawData))
write.table(normData,paste(filename,'.norm',sep=""),sep='\t',quote=F, row.names=F)
}
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