Article

Interpreting Generative Adversarial Networks to Infer Natural Selection from Genetic Data

2023-03-08

Abstract excerpt

<h4> A bstract </h4> Understanding natural selection in humans and other species is a major focus for the use of machine learning in population genetics. Existing methods rely on computationally intensive simulated training data. Unlike efficient neutral coalescent simulations for demographic inference, realistic simulations of selection typically requires slow forward simulations. Because there are many possib...

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Literature Corpus work: 5423a60c-3f6d-5055-a512-66b169d6cbeb
DOI: 10.1101/2023.03.07.531546

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