Deciphering signatures of natural selection via deep learning

Identifying genomic regions influenced by natural selection provides fundamental insights into the genetic basis of local adaptation. However, it remains challenging to detect loci under complex spatially varying selection. We propose a deep learning-based framework, DeepGenomeScan, which can detect...

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Detalles Bibliográficos
Autores principales: Qin, Xinghu, Chiang, Charleston W K, Gaggiotti, Oscar E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Problem Solving Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9487700/
https://www.ncbi.nlm.nih.gov/pubmed/36056746
http://dx.doi.org/10.1093/bib/bbac354

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9487700/
https://www.ncbi.nlm.nih.gov/pubmed/36056746
http://dx.doi.org/10.1093/bib/bbac354

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