What is the best approach to correlate expression levels, mutated genes and clinical variables
Hi there,
I was wondering which could be the best approach to correlate expression levels (from RNA -seq) mutated genes and clinical variables for a specific patients data set.
I have two data frames, let's call them exp with the typical RNA-seq data processed by DESeq2 and other table with genes (1: mutated, 0 no mutated) and clinical variable of interest, let's call it mutated, that looks like this:
ID gene1 gene2 gene3 gene4 var
patient1 0 1 0 0 low
patient2 0 0 0 1 high
patient3 1 1 0 0 low
any ideas? Thank you!
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