Chargement en cours SCRIPTS/DE/deAnalysis.R +10 −5 Numéro de ligne d'origine Numéro de ligne de diff Ligne de diff Chargement en cours @@ -167,10 +167,10 @@ if(nrow(DE.sel$isDE)>=10){ quantile.expr<-quantile(unlist(rowScaledExpr),seq(0,1,.01)) colHA=colorRamp2(c(quantile.expr[2],0,quantile.expr[100]),c("blue","white","red")) png(paste(paste(outputDir,comp,sep="/"),"clustDEgene.png",sep="/"),width=25,height=22,units="cm",res=600,pointsize=3) print(Heatmap(exprDE.scaled,top_annotation = haByComp, row_names_gp = autoGparFontSizeMatrix(nrow(exprDE.scaled)), cluster_rows = hclustGeneDE,col = colHA, cluster_columns = hclustSampleDE,name=comp,column_names_gp = autoGparFontSizeMatrix(ncol(exprDE.scaled)) )) dev.off() #png(paste(paste(outputDir,comp,sep="/"),"clustDEgene.png",sep="/"),width=25,height=22,units="cm",res=600,pointsize=3) #print(Heatmap(exprDE.scaled,top_annotation = haByComp, row_names_gp = autoGparFontSizeMatrix(nrow(exprDE.scaled)), # cluster_rows = hclustGeneDE,col = colHA, cluster_columns = hclustSampleDE,name=comp,column_names_gp = autoGparFontSizeMatrix(ncol(exprDE.scaled)) )) #dev.off() pdf(paste(paste(outputDir,comp,sep="/"),"clustDEgene.pdf",sep="/"),width=10,height=10) print(Heatmap(exprDE.scaled,top_annotation = haByComp, row_names_gp = autoGparFontSizeMatrix(nrow(exprDE.scaled)), Chargement en cours Chargement en cours @@ -199,6 +199,11 @@ if(nrow(DE.sel$isDE)>=10){ hclustGeneDESelect<-unsupervisedClustering(exprDESelect.scaled,transpose = F,nboot=nboot,bootstrap = bootTemp) hclustSampleDESelect<-unsupervisedClustering(exprDESelect.scaled,transpose = T,nboot=nboot,bootstrap = bootTemp,method.dist = "euclidean") png(paste(paste(outputDir,comp,sep="/"),"clustDEgene.png",sep="/"),width=25,height=22,units="cm",res=600,pointsize=3) print(Heatmap(exprDESelect.scaled,top_annotation = haByCompSelect, row_names_gp = autoGparFontSizeMatrix(nrow(exprDESelect.scaled)), cluster_rows = hclustGeneDESelect,col = colHA, cluster_columns = hclustSampleDESelect,name=comp,column_names_gp = autoGparFontSizeMatrix(ncol(exprDESelect.scaled)) )) dev.off() print(Heatmap(exprDESelect.scaled,top_annotation = haByCompSelect, row_names_gp = autoGparFontSizeMatrix(nrow(exprDESelect.scaled)), cluster_rows = hclustGeneDESelect,col = colHA, cluster_columns = hclustSampleDESelect,name=comp,column_names_gp = autoGparFontSizeMatrix(ncol(exprDESelect.scaled)) )) Chargement en cours Chargement en cours
SCRIPTS/DE/deAnalysis.R +10 −5 Numéro de ligne d'origine Numéro de ligne de diff Ligne de diff Chargement en cours @@ -167,10 +167,10 @@ if(nrow(DE.sel$isDE)>=10){ quantile.expr<-quantile(unlist(rowScaledExpr),seq(0,1,.01)) colHA=colorRamp2(c(quantile.expr[2],0,quantile.expr[100]),c("blue","white","red")) png(paste(paste(outputDir,comp,sep="/"),"clustDEgene.png",sep="/"),width=25,height=22,units="cm",res=600,pointsize=3) print(Heatmap(exprDE.scaled,top_annotation = haByComp, row_names_gp = autoGparFontSizeMatrix(nrow(exprDE.scaled)), cluster_rows = hclustGeneDE,col = colHA, cluster_columns = hclustSampleDE,name=comp,column_names_gp = autoGparFontSizeMatrix(ncol(exprDE.scaled)) )) dev.off() #png(paste(paste(outputDir,comp,sep="/"),"clustDEgene.png",sep="/"),width=25,height=22,units="cm",res=600,pointsize=3) #print(Heatmap(exprDE.scaled,top_annotation = haByComp, row_names_gp = autoGparFontSizeMatrix(nrow(exprDE.scaled)), # cluster_rows = hclustGeneDE,col = colHA, cluster_columns = hclustSampleDE,name=comp,column_names_gp = autoGparFontSizeMatrix(ncol(exprDE.scaled)) )) #dev.off() pdf(paste(paste(outputDir,comp,sep="/"),"clustDEgene.pdf",sep="/"),width=10,height=10) print(Heatmap(exprDE.scaled,top_annotation = haByComp, row_names_gp = autoGparFontSizeMatrix(nrow(exprDE.scaled)), Chargement en cours Chargement en cours @@ -199,6 +199,11 @@ if(nrow(DE.sel$isDE)>=10){ hclustGeneDESelect<-unsupervisedClustering(exprDESelect.scaled,transpose = F,nboot=nboot,bootstrap = bootTemp) hclustSampleDESelect<-unsupervisedClustering(exprDESelect.scaled,transpose = T,nboot=nboot,bootstrap = bootTemp,method.dist = "euclidean") png(paste(paste(outputDir,comp,sep="/"),"clustDEgene.png",sep="/"),width=25,height=22,units="cm",res=600,pointsize=3) print(Heatmap(exprDESelect.scaled,top_annotation = haByCompSelect, row_names_gp = autoGparFontSizeMatrix(nrow(exprDESelect.scaled)), cluster_rows = hclustGeneDESelect,col = colHA, cluster_columns = hclustSampleDESelect,name=comp,column_names_gp = autoGparFontSizeMatrix(ncol(exprDESelect.scaled)) )) dev.off() print(Heatmap(exprDESelect.scaled,top_annotation = haByCompSelect, row_names_gp = autoGparFontSizeMatrix(nrow(exprDESelect.scaled)), cluster_rows = hclustGeneDESelect,col = colHA, cluster_columns = hclustSampleDESelect,name=comp,column_names_gp = autoGparFontSizeMatrix(ncol(exprDESelect.scaled)) )) Chargement en cours