Loading README.md +1 −1 Original line number Diff line number Diff line Loading @@ -93,7 +93,7 @@ dev.off() ### 5. ComplexHeatmap to show unique genes across groups plot1cell can directly identify the condition specific genes in a selected cell type and plot those genes using ComplexHeatmap. An example is shown below: ``` iri.integrated$Group2<-mapvalues(iri.integrated$Group, from = c("Control", "4hours", "12hours", "2days", "14days" , "6weeks" ), iri.integrated$Group2<-plyr::mapvalues(iri.integrated$Group, from = c("Control", "4hours", "12hours", "2days", "14days" , "6weeks" ), to = c("Ctrl","Hr4","Hr12","Day2", "Day14","Wk6")) iri.integrated$Group2<-factor(iri.integrated$Group2, levels = c("Ctrl","Hr4","Hr12","Day2", "Day14","Wk6")) png(filename = 'heatmap_group.png', width = 4, height = 8,units = 'in', res = 100) Loading Loading
README.md +1 −1 Original line number Diff line number Diff line Loading @@ -93,7 +93,7 @@ dev.off() ### 5. ComplexHeatmap to show unique genes across groups plot1cell can directly identify the condition specific genes in a selected cell type and plot those genes using ComplexHeatmap. An example is shown below: ``` iri.integrated$Group2<-mapvalues(iri.integrated$Group, from = c("Control", "4hours", "12hours", "2days", "14days" , "6weeks" ), iri.integrated$Group2<-plyr::mapvalues(iri.integrated$Group, from = c("Control", "4hours", "12hours", "2days", "14days" , "6weeks" ), to = c("Ctrl","Hr4","Hr12","Day2", "Day14","Wk6")) iri.integrated$Group2<-factor(iri.integrated$Group2, levels = c("Ctrl","Hr4","Hr12","Day2", "Day14","Wk6")) png(filename = 'heatmap_group.png', width = 4, height = 8,units = 'in', res = 100) Loading
