6 GeneGenerate=GeneSimu(DVDconstant=4, DVDqt1=NULL, DVDqt2=NULL,
7 Conditions=rep(c(1,2),each=5), NumofSample=10, NumofGene=10000,
8 DEGeneProp=.1, Phiconstant=NULL, Phi.qt1=.1, Phi.qt2=.9,
9 Meanconstant=NULL, OnlyData=T)
10 GeneData=GeneGenerate$data
11 GeneTrueDENames=GeneGenerate$TrueDE
15 Sizes=MedianNorm(GeneData)
17 EBres=EBTest(Data=GeneData,
18 Conditions=as.factor(rep(c(1,2),each=5)),sizeFactors=Sizes, maxround=5)
22 DEfound=names(PP)[which(PP>=.95)]
24 sum(DEfound%in%GeneTrueDENames)
26 QQP(QList=EBres$QList1, AlphaResult=EBres[[1]][5,1],
27 BetaResult=EBres[[2]][5,1], name="Gene Simulation", AList="F", GroupName=NULL)
28 DenNHist(QList=EBres$QList1, Alpha=EBres[[1]][5,1], Beta=EBres[[2]][5,1],
29 name="Gene Simulation", AList="F", GroupName=NULL)
33 IsoGenerate=IsoSimu(DVDconstant=NULL, DVDqt1=.97, DVDqt2=.98,
34 Conditions=as.factor(rep(c(1,2),each=5)), NumofSample=10,
35 NumofIso=c(1000,2000,3000), DEIsoProp=.1, Phiconstant=NULL,
36 Phi.qt1=.25, Phi.qt2=.75, OnlyData=T )
39 IsoMat=do.call(rbind,IsoGenerate$data)
42 IsoSizes=MedianNorm(IsoMat)
44 IsoNames=rownames(IsoMat)
46 GeneNames=paste("Gene",c(1:3000),sep="_")
47 IsosGeneNames=c(GeneNames[1:1000],rep(GeneNames[1001:2000],each=2),
48 rep(GeneNames[2001:3000],each=3))
49 NgList=GetNg(IsoNames, IsosGeneNames)
50 IsoNgTrun=NgList$IsoformNgTrun
51 IsoNgTrun[c(1:3,1001:1003,3001:3003)]
53 IsoEBres=EBTest(Data=IsoMat, NgVector=IsoNgTrun,
54 Conditions=as.factor(rep(c(1,2),each=5)),sizeFactors=IsoSizes, maxround=5)
57 IsoDE=IsoPP[which(IsoPP>=.95)]
59 sum(names(IsoDE)%in%IsoGenerate$TrueDE)
62 PolyFitValue=vector("list",3)
64 PolyFitValue[[i]]=PolyFitPlot(IsoEBres$C1Mean[[i]],
65 IsoEBres$C1EstVar[[i]],5)
67 PolyAll=PolyFitPlot(unlist(IsoEBres$C1Mean), unlist(IsoEBres$C1EstVar),5)
68 lines(log10(IsoEBres$C1Mean[[1]][PolyFitValue[[1]]$sort]),
69 PolyFitValue[[1]]$fit[PolyFitValue[[1]]$sort],col="yellow")
70 lines(log10(IsoEBres$C1Mean[[2]][PolyFitValue[[2]]$sort]),
71 PolyFitValue[[2]]$fit[PolyFitValue[[2]]$sort],col="pink")
72 lines(log10(IsoEBres$C1Mean[[3]][PolyFitValue[[3]]$sort]),
73 PolyFitValue[[3]]$fit[PolyFitValue[[3]]$sort],col="green")
74 legend("topleft",c("All Isoforms","Ng = 1","Ng = 2","Ng = 3"),
75 col=c("red","yellow","pink","green"),lty=1,lwd=3,box.lwd=2)
78 QQP(QList=IsoEBres$QList1, AlphaResult=IsoEBres[[1]][5,],
79 BetaResult=IsoEBres[[2]][5,],
80 name="Isoforms", AList="F", GroupName=paste("Ng = ",c(1:3),sep=""))
82 DenNHist(QList=IsoEBres$QList1, Alpha=IsoEBres[[1]][5,],
83 Beta=IsoEBres[[2]][5,],
84 name="Isoforms", AList="F", GroupName=paste("Ng = ",c(1:3),sep=""))
88 Conditions=c("C1","C1","C2","C2","C3","C3")
89 PosParti=GetPatterns(Conditions)
95 MultiData=GeneMultiSimu(Conditions=Conditions,AllParti=Parti,
96 NumofSample=6,NumofGene=1000,DEGeneProp=c(.7,.1,.1,.1),
97 DVDqt1=.98,DVDqt2=.99,Phi.qt1=.25,Phi.qt2=.75)
100 MultiSize=MedianNorm(MultiData$data)
101 MultiRes=EBMultiTest(MultiData$data,NgVector=NULL,Conditions=Conditions,
102 AllParti=Parti, sizeFactors=MultiSize, maxround=5)
103 MultiPP=GetMultiPP(MultiRes)
108 sum(MultiPP$MAP==MultiData$Patterns)