Deep Kernel and Deep Learning for Genome-Based Prediction of Single Traits in Multienvironment Breeding Trials

Deep learning (DL) is a promising method for genomic-enabled prediction. However, the implementation of DL is difficult because many hyperparameters (number of hidden layers, number of neurons, learning rate, number of epochs, batch size, etc.) need to be tuned. For this reason, deep kernel methods,...

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Bibliografische gegevens
Gepubliceerd in:Front Genet
Hoofdauteurs: Crossa, José, Martini, Johannes W.R., Gianola, Daniel, Pérez-Rodríguez, Paulino, Jarquin, Diego, Juliana, Philomin, Montesinos-López, Osval, Cuevas, Jaime
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Frontiers Media S.A. 2019
Onderwerpen:
Genetics
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6913188/
https://ncbi.nlm.nih.gov/pubmed/31921277
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fgene.2019.01168
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