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,...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:Front Genet
Egile Nagusiak: Crossa, José, Martini, Johannes W.R., Gianola, Daniel, Pérez-Rodríguez, Paulino, Jarquin, Diego, Juliana, Philomin, Montesinos-López, Osval, Cuevas, Jaime
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Frontiers Media S.A. 2019
Gaiak:
Genetics
Sarrera elektronikoa: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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