Dispersal inference from population genetic variation using a convolutional neural network

The geographic nature of biological dispersal shapes patterns of genetic variation over landscapes, making it possible to infer properties of dispersal from genetic variation data. Here, we present an inference tool that uses geographically distributed genotype data in combination with a convolution...

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Detalles Bibliográficos
Autores principales: Smith, Chris C R, Tittes, Silas, Ralph, Peter L, Kern, Andrew D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Investigation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10213498/
https://www.ncbi.nlm.nih.gov/pubmed/37052957
http://dx.doi.org/10.1093/genetics/iyad068

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10213498/
https://www.ncbi.nlm.nih.gov/pubmed/37052957
http://dx.doi.org/10.1093/genetics/iyad068

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