Tractable and Expressive Generative Models of Genetic Variation Data

Population genetic studies often rely on artificial genomes (AGs) simulated by generative models of genetic data. In recent years, unsupervised learning models, based on hidden Markov models, deep generative adversarial networks, restricted Boltzmann machines, and variational autoencoders, have gain...

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Detalles Bibliográficos
Autores principales: Dang, Meihua, Liu, Anji, Wei, Xinzhu, Sankararaman, Sriram, Van den Broeck, Guy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10245670/
https://www.ncbi.nlm.nih.gov/pubmed/37292742
http://dx.doi.org/10.1101/2023.05.16.541036

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10245670/
https://www.ncbi.nlm.nih.gov/pubmed/37292742
http://dx.doi.org/10.1101/2023.05.16.541036

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