disperseNN2: a neural network for estimating dispersal distance from georeferenced polymorphism data

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Spatial genetic variation is shaped in part by an organism’s dispersal ability. We present a deep learning tool, disperseNN2, for estimating the mean per-generation dispersal distance from georeferenced polymorphism data. Our neural network performs feature extraction on pairs of genotypes, and uses...

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Detalles Bibliográficos
Autores principales: Smith, Chris C. R., Kern, Andrew D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10566146/
https://www.ncbi.nlm.nih.gov/pubmed/37817115
http://dx.doi.org/10.1186/s12859-023-05522-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10566146/
https://www.ncbi.nlm.nih.gov/pubmed/37817115
http://dx.doi.org/10.1186/s12859-023-05522-7

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