I am using raw counts data from TCGA. As I want to compute the Z-score between tumor and normal samples, I have to first ensure that my data are normally distributed. Until now, I downloaded raw counts, normalized them for their GC content using TCGAanalyze_Normalization() function from TCGAbiolinks, log2(x+1) transfromed them but the distribution is right skewed and definetily not normal, as seen in qqnorm() plots.
How could I tackle that? I have been trying to figure it out for days, but I cannot find a solution.
Thanks a lot, R.