annotate EBIsoformTwoCondTest.R @ 13:4d6d52fafb86 draft

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author ning
date Fri, 15 Mar 2013 18:23:26 -0400
parents c85f281dc059
children
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1 sink(file="/tmp/none")
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2 sink("/dev/null")
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3 options(warn=-1)
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4 options(echo=F)
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5
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6 invisible("EBSeq")
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7 suppressMessages(library("EBSeq"))
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8
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9 args <- commandArgs(trailingOnly = T)
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10 inputfile <- args[1]
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11 WhetherSampleName <- args[2]
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12 CondIn <- args[3]
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13 Ig.file <-args[4]
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14 FDR <- args[5]
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15 outputfile <- args[6]
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16 Sort.out<-args[7]
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17 Sort.out.FDR <-args[8]
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18 Sizesout <-args[9]
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19
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20
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21 Conditions=strsplit(CondIn,split=",")[[1]]
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22 if(WhetherSampleName=="y"){
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23 ReadIn=read.table(inputfile,stringsAsFactors=F,header=T,sep="\t")
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24 Names=names(ReadIn)[-1]
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25 }
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26 if(WhetherSampleName=="n"){
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27 ReadIn=read.table(inputfile,stringsAsFactors=F,header=F, sep="\t")
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28 Names=paste0("S",1:length(Conditions))
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29 }
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30
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31 if(class(ReadIn[[1]])=="character"){
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32 GeneMat=do.call(cbind,ReadIn[-1])
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33 rownames(GeneMat)=ReadIn[[1]]
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34 colnames(GeneMat)=Names
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35 }
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36 if(class(ReadIn[[1]])=="numeric"){
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37 GeneMat=data.matrix(ReadIn)
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38 colnames(GeneMat)=Names
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39 }
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40
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41 IgVIn=read.csv(Ig.file,stringsAsFactors=F,header=F)
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42 IgV=IgVIn[[1]]
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43 Conditions=strsplit(CondIn,split=",")[[1]]
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44
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45 Sizes=MedianNorm(GeneMat)
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46 EBOut=EBTest(Data=GeneMat,NgVector=IgV,Conditions=as.factor(Conditions),sizeFactors=Sizes, maxround=5)
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47 PP=GetPP(EBOut)
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48 PP.sort=sort(PP,decreasing=T)
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49 PP.sort.FDR=PP.sort[which(PP.sort>=1-as.numeric(FDR))]
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50
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51 Data.norm=GetNormalizedMat(GeneMat, Sizes)
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52 FC=PostFC(EBOut)
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53 realFC=FC[[2]]
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54 postFC=FC[[1]]
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55
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56 Mat=cbind(PP, realFC[names(PP)], postFC[names(PP)],Data.norm[names(PP),])
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57 Mat.sort=cbind(PP.sort, realFC[names(PP.sort)], postFC[names(PP.sort)],Data.norm[names(PP.sort),])
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58
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59
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60 if(length(PP.sort.FDR)>1)Mat.sort.FDR=cbind(PP.sort.FDR, realFC[names(PP.sort.FDR)], postFC[names(PP.sort.FDR)],Data.norm[names(PP.sort.FDR),])
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61
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62 if(length(PP.sort.FDR)==1)Mat.sort.FDR=matrix(
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63 c(PP.sort.FDR, realFC[names(PP.sort.FDR)], postFC[names(PP.sort.FDR)],Data.norm[names(PP.sort.FDR),])
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64 ,nrow=1)
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65
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66 colnames(Mat)=colnames(Mat.sort)=
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67 c("PPDE","RealFC","PosteriorFC",colnames(Data.norm))
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68 if(length(PP.sort.FDR)>0)colnames(Mat.sort.FDR)=
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69 c("PPDE","RealFC","PosteriorFC",colnames(Data.norm))
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70
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71 write.table(round(Mat,2),file=outputfile,quote=F,col.names=T,row.names=T,sep = "\t")
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72 write.table(round(Mat.sort,2),file=Sort.out ,quote=F,col.names=T,row.names=T,sep = "\t")
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73 if(length(PP.sort.FDR)>0)write.table(round(Mat.sort.FDR,2),file=Sort.out.FDR,quote=F,col.names=T,row.names=T,sep = "\t")
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74 write.table(Sizes,file=Sizesout,quote=F,col.names=F,row.names=F,sep = "\t")
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75