Article
Creating artificial human genomes using generative neural networks.
PLoS genetics - 1 Feb 2021
Yelmen Burak, Decelle Aurélien, Ongaro Linda, Marnetto Davide, Tallec Corentin, Montinaro Francesco, Furtlehner Cyril, Pagani Luca, Jay Flora
Abstract excerpt
Generative models have shown breakthroughs in a wide spectrum of domains due to recent advancements in machine learning algorithms and increased computational power. Despite these impressive achievements, the ability of generative models to create realistic synthetic data is still under-exploited in genetics and absent from population genetics. Yet a known limitation in the field is the reduced access to many...
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