I am doing differential gene expression analysis using DESeq2. I want to make an expression heat map of sample-to-sample distances on the matrix of variance-stabilized data(rlog).
I followed this code.
rld <- rlog(Merged_dds, blind=TRUE) rld_mat <- assay(rld) rld_cor <- cor(rld_mat) pheatmap(rld_cor, annotation = select(Merged_metadata, condition)) heat.colors <- brewer.pal(6, "Blues")
I got a heatmap for all samples(10 samples, with 4 different treatments, and one control). Each condition has 2 biological replicates. But I want to make a similar heatmap for only one condition vs control. I have 2 replicates for each condition.
When I tried to use the same code for it, I did not get any error, but I also did not get the heatmap.
So, my question is can I make a distance heatmap for 4 samples- 2 being one condition, other 2 being controls or not?
If, yes, how should I change the code? Given I will use the correct data.
Thank you for reading my post.
I hope to get your help.