dnadna: a deep learning framework for population genetics inference

MOTIVATION: We present dnadna, a flexible python-based software for deep learning inference in population genetics. It is task-agnostic and aims at facilitating the development, reproducibility, dissemination and re-usability of neural networks designed for population genetic data. RESULTS: dnadna d...

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Detalles Bibliográficos
Autores principales: Sanchez, Théophile, Bray, Erik Madison, Jobic, Pierre, Guez, Jérémy, Letournel, Anne-Catherine, Charpiat, Guillaume, Cury, Jean, Jay, Flora
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Applications Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825738/
https://www.ncbi.nlm.nih.gov/pubmed/36445000
http://dx.doi.org/10.1093/bioinformatics/btac765

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825738/
https://www.ncbi.nlm.nih.gov/pubmed/36445000
http://dx.doi.org/10.1093/bioinformatics/btac765

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