Genome-Wide Prediction of Complex Traits in Two Outcrossing Plant Species Through Deep Learning and Bayesian Regularized Neural Network

Genomic selection models were investigated to predict several complex traits in breeding populations of Zea mays L. and Eucalyptus globulus Labill. For this, the following methods of Machine Learning (ML) were implemented: (i) Deep Learning (DL) and (ii) Bayesian Regularized Neural Network (BRNN) bo...

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Detalhes bibliográficos
Publicado no:Front Plant Sci
Main Authors: Maldonado, Carlos, Mora-Poblete, Freddy, Contreras-Soto, Rodrigo Iván, Ahmar, Sunny, Chen, Jen-Tsung, do Amaral Júnior, Antônio Teixeira, Scapim, Carlos Alberto
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2020
Assuntos:
Plant Science
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7728740/
https://ncbi.nlm.nih.gov/pubmed/33329658
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fpls.2020.593897
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