Article

Automatic inference of demographic parameters using Generative Adversarial Networks

2020-08-06

Abstract excerpt

<h4> A bstract </h4> Population genetics relies heavily on simulated data for validation, inference, and intuition. In particular, since the evolutionary “ground truth” for real data is always limited, simulated data is crucial for training supervised machine learning methods. Simulation software can accurately model evolutionary processes, but requires many hand-selected input parameters. As a result, simulate...

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Literature Corpus work: 40259b99-86c6-55b7-8230-07d59a6b0f7b
DOI: 10.1101/2020.08.05.237834

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