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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Spremljeno u:
Bibliografski detalji
Izdano u:Front Plant Sci
Glavni autori: Maldonado, Carlos, Mora-Poblete, Freddy, Contreras-Soto, Rodrigo Iván, Ahmar, Sunny, Chen, Jen-Tsung, do Amaral Júnior, Antônio Teixeira, Scapim, Carlos Alberto
Format: Artigo
Jezik:Inglês
Izdano: Frontiers Media S.A. 2020
Teme:
Plant Science
Online pristup: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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