Entering edit mode
5.9 years ago
Za
▴
140
Hi,
I have 2 matrices of two separate but close experiments, I merged matrices and ran PCA on merged data by DESeq2 that looks so
dds=DESeqDataSetFromMatrix(countData = merged_matrix,colData = mycols, design = ~condition)
vsd <- varianceStabilizingTransformation(dds)
plotPCA(vsd, intgroup = "condition")
How I can extract the genes or the cause of 24% PC2?