Category Archives: Machine Learning

Introducing GenRAIT to the post-genomic eraThe human genetic map became reality in the first two decades of the 21st century. This was the dream of a century of genetics, laboriously tracing pedigrees across families decade after decade. But the combin…

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If you are awake in the year 2019 you have heard of “machine learning.” And, if you listened to my podcast The Insight you know that Andy Kern’s lab at University of Oregon is leveraging machine learning (and “deep learning” and “neural networks”) for population genetics. Now, obviously in population genetics, you know that models […]

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The Insight Show Notes — Season 2, Episode 29: Deep Learning and Population GeneticsThis week on The Insight (Apple Podcasts, Spotify, Stitcher and Google Podcasts) Razib talks to Andrew Kern, a computational biologist at the University of Oregon who b…

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Population genetics is many things, but a popular field that gets written up in Wired or the tech-press is usually not one of those things. It emerged out of Mendelian genetics in the early decades of the 20th-century, transforming elegant pedigrees in…

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Dan Schriber and Andy Kern have a new review preprint out, Machine Learning for Population Genetics: A New Paradigm. On Twitter there has already been a little snark to the effect of “oh, you mean regression?” That’s fair enough, and the preprint would probably benefit from a lower key title, though that’s really the sort […]

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Razib Khan