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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Опубликовано в: :Front Plant Sci
Главные авторы: Maldonado, Carlos, Mora-Poblete, Freddy, Contreras-Soto, Rodrigo Iván, Ahmar, Sunny, Chen, Jen-Tsung, do Amaral Júnior, Antônio Teixeira, Scapim, Carlos Alberto
Формат: Artigo
Язык:Inglês
Опубликовано: Frontiers Media S.A. 2020
Предметы:
Plant Science
Online-ссылка: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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