Deep learning versus parametric and ensemble methods for genomic prediction of complex phenotypes

BACKGROUND: Transforming large amounts of genomic data into valuable knowledge for predicting complex traits has been an important challenge for animal and plant breeders. Prediction of complex traits has not escaped the current excitement on machine-learning, including interest in deep learning alg...

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Detalles Bibliográficos
Autores principales: Abdollahi-Arpanahi, Rostam, Gianola, Daniel, Peñagaricano, Francisco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038529/
https://www.ncbi.nlm.nih.gov/pubmed/32093611
http://dx.doi.org/10.1186/s12711-020-00531-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038529/
https://www.ncbi.nlm.nih.gov/pubmed/32093611
http://dx.doi.org/10.1186/s12711-020-00531-z

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