First, excellent article.

I have a question about what we know in terms of transcriptomics.

If we know how similar we are from genomics (essentially how similar our DNA is i.e. 99.9% genetically identical between male & female), do we know how similar we are from a genetic expression point of view? Like epigenetic similarity?

I imagine our differences in chromatin access via activators, repressors, co-activators, co-repressors, mediators, and other chromatin remodeling elements could give us more variation with keys to unlocking diseases as well as explaining our differences we see between each other in day to day life.

So from a Machine Learning perspective, where are we with that? Sorry for my ignorance on the subject. It just seems really interesting! And you seem very knowledgeable.