Thank you for your comment, but it did not help!
Hi All,
I made a heat map to show the top 25 significant differentially expressed genes. I would like to make some changes in my heatmap but I couldn't find how to do it, may you please provide me with some solutions please?
Here is the code that I used:
select<- resOrdered$ENSEMBL[1:25] #selected the 25 most significant genes
toplot<- assay(vsd)[select,] #retreived the vst values for selected genes
rownames(toplot) <- resOrdered$SYMBOL[1:25] #defined the gene symbol
df <- as.data.frame(colData(vsd)["condition"])
ann_colors<- list(condition=c(OE="red", WT="blue"))
pheatmap(toplot,annotation_col = df, annotation_colors = ann_colors,
scale = "row", border_color = "transparent",
cutree_cols = 2, cutree_rows = 2,fontsize = 7,
color = colorRampPalette(c("blue","white","red"))(50))
here is my heatmap
in a row is the name of the genes that I covered, and the column is the name of the sample group by WT and OE.
I want to show WT condition on the left of my plot and, next to it OE condition. exactly the invert one of that already is. but I couldn't figure out how.
I appreciate any solutions please.
2 answers
Can you please try this? I have not tested it but it should work.
install.packages("seriation")
install.packages("dendextend")
library(seriation)
library(dendextend)
phtmap <- pheatmap(toplot,annotation_col = df, annotation_colors = ann_colors,
scale = "row", border_color = "transparent",
cutree_cols = 2, cutree_rows = 2,fontsize = 7,
color = colorRampPalette(c("blue","white","red"))(50))
col_dend =phtmap[[2]]
col_dend <- rotate(col_dend, order = rev(colnames(toplot)[get_order(col_dend)]))
pheatmap(toplot,annotation_col = df, annotation_colors = ann_colors,
scale = "row", border_color = "transparent",
cutree_cols = 2, cutree_rows = 2,fontsize = 7, cluster_cols = as.hclust(col_dend),
color = colorRampPalette(c("blue","white","red"))(50))
Hi, you could maybe try releveling the factor when you define them in your coldata, because otherwise it's alphabetic:
colData$condition <- factor(colData$condition, levels = c("WT", "OE"))
And then run the heatmap as is.
Log in to answer this question.