Hi everyone,
I am doing an RNA-seq analysis with DESeq2. I have 3 patients with disease (affected) and 3 healthy patients (unaffected). After following standard DESeq2 pipeline (as described here), I got my table with results and p.value column. I decided to check the distribution of p.values and here it is:
I do know that we expect to see something similar to uniform distribution, apparently we don't see it here... Does it mean that there is a problem with the data or an experiment design (I used simple formula, which was taking into account genders of the patients: ~ Gender + Condition)?
Thank you
Can you show a PCA plot? This sometimes comes from batch effects, or other related correlations or differences in the variance than from the model (e.g. if one group had much larger dispersion, or an outlier).
PCA plot is not great either... Zeros are unaffected patients, Ones are affected. PC2 divides them by gender.