MLPvsother <-function(Indata,Indlabdata)
{
data<-Indata
cat("Input data has", ncol(data)-1, "samples", "\n", append = T)
dataUnique<-data.matrix(data[,2:dim(data)[2]])
rownames(dataUnique)<-data[,1]
dim(dataUnique)
# Creating storage for results and setting the working directory
dir.create("PanNETassignerResults", showWarnings = FALSE)
dir.create("PanNETassignerResults/MLPvsother", showWarnings = FALSE)
dir<-getwd()
setwd(paste0(dir,"/PanNETassignerResults/MLPvsother"))
# Median centering data
rowMed <- apply(dataUnique,1,median, na.rm=TRUE);
dataUnique<-dataUnique-rowMed
dataUnique_1<-cbind(rownames(dataUnique),dataUnique)
# NMF subtypes
#Mapping MLP vs other subtypes
con<-Indlabdata
c1<-which(con[,2] == 1)
c3<-which(con[,2] == 3)
c2<-which(con[,2] == 2)
c4<-which(con[,2] == 4)
c13<-c(c1,c3)
c24<-c(c2,c4)
con_1<-con[c(c13,c24),]
# matching the samples between NMF subtypes and the data file
m1<-match(con_1[,1],colnames(dataUnique_1))
data_3<-cbind(dataUnique_1[,1],dataUnique_1[,m1])
InputFileName_to<-"mrna-1_tumor_and_islets_only_removed_replicates_islet_sd0.8_data_cdt_NMF_ordered_5_MLPvsothersubtypes.txt"
InputFileName_to<-gsub(".*/", "", InputFileName_to, ignore.case=TRUE)
write.table(data_3,InputFileName_to, row.names=FALSE,sep="\t",quote=FALSE)
data_3_m<-matrix(as.numeric(data_3[,2:dim(data_3)[2]]),nrow=dim(data_3)[1],ncol=dim(data_3)[2]-1)
rownames(data_3_m)<-data_3[,1]
cl<-rep(c(0,1),c(length(c13),length(c24)))
# SAM analysis
sam.out1<-sam(data_3_m,cl,rand=123,gene.names=rownames(data_3_m))
write.table(sam.out1@mat.fdr,"samoutput.txt",row.names=FALSE,sep="\t",quote=FALSE)
g1<-summary(sam.out1,1.7)@row.sig.genes
data_3_sam<-data_3[g1,]
InputFileName_to_SAM<-paste((strsplit(InputFileName_to,".txt")[1]),"_SAM_49_genes.txt",sep="")
write.table(data_3_sam,"mrna-1_tumor_and_islets_only_sd0.8_removed_replicates_data_cdt_NMF_ordered_5__MLPvsothersubtypes_SAM_49_genes.txt",row.names=FALSE,sep="\t",quote=FALSE)
setwd(dir)
}
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