A review of deep learning applications for genomic selection

BACKGROUND: Several conventional genomic Bayesian (or no Bayesian) prediction methods have been proposed including the standard additive genetic effect model for which the variance components are estimated with mixed model equations. In recent years, deep learning (DL) methods have been considered i...

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Detalles Bibliográficos
Autores principales: Montesinos-López, Osval Antonio, Montesinos-López, Abelardo, Pérez-Rodríguez, Paulino, Barrón-López, José Alberto, Martini, Johannes W. R., Fajardo-Flores, Silvia Berenice, Gaytan-Lugo, Laura S., Santana-Mancilla, Pedro C., Crossa, José
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7789712/
https://www.ncbi.nlm.nih.gov/pubmed/33407114
http://dx.doi.org/10.1186/s12864-020-07319-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7789712/
https://www.ncbi.nlm.nih.gov/pubmed/33407114
http://dx.doi.org/10.1186/s12864-020-07319-x

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