Dear all,

I am trying to compare Beta values (methyl-ratio) from 2 publicly available datasets, generated with different techniques (Illumina450k, eRRBS). I know from previous works that the Beta distribution is different, in particular arrays have lower dynamic range and more noise. However, I would like to obtain comparable distributions for the downstream analysis.

What strategy would you suggest?

I've checked out some packages for batch effect normalization, but they all assume that the points measured are the same (which is not true in this case). Thank you for your help