[R] Blog post series on human genetics for data scientists

I started writing a blog post series on human genetics for data scientists, with the goal of presenting the major open problems in the field (from an analytical perspective).

I explain in the blog why, on the one hand, genetic data is really convenient for statistical and computational analysis (DNA is literally a digital code) and we can in principle do really cool stuff (like predicting who’s at risk for schizophrenia, heart disease, or any other heritable condition), but it’s …

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