We really like the cluster heat map that we get when using DESeq.
Is it possible to get a similar plot from DEXSeq?
This is the code to do it in DESeq:
Is it possible to get a similar plot from DEXSeq?
This is the code to do it in DESeq:
Code:
# need a "full blind" version for variance-stabilized-dispersion heatmap. get it before modifying cds fullBlind.method <- "blind" fullBlind.sharingMode <- "fit-only" fullBlind.fitType <- "local" cdsFullBlind <- estimateDispersions(cds, method=fullBlind.method, sharingMode=fullBlind.sharingMode, fitType=fullBlind.fitType ) # per the vignette, should use "blind" dispersion estimates to avoid bias vsd <- getVarianceStabilizedData(cdsFullBlind) dists <- dist( t(vsd) ) heatmap (as.matrix(dists), symm=TRUE)