A Benchmarking Between Deep Learning, Support Vector Machine and Bayesian Threshold Best Linear Unbiased Prediction for Predicting Ordinal Traits in Plant Breeding.
GBLUP
GenPred
Genomic Prediction
Shared Data Resources
deep learning
genomic selection
plant breeding
support vector machine
threshold
Journal
G3 (Bethesda, Md.)
ISSN: 2160-1836
Titre abrégé: G3 (Bethesda)
Pays: England
ID NLM: 101566598
Informations de publication
Date de publication:
07 02 2019
07 02 2019
Historique:
pubmed:
30
12
2018
medline:
5
6
2019
entrez:
30
12
2018
Statut:
epublish
Résumé
Genomic selection is revolutionizing plant breeding. However, still lacking are better statistical models for ordinal phenotypes to improve the accuracy of the selection of candidate genotypes. For this reason, in this paper we explore the genomic based prediction performance of two popular machine learning methods: the Multi Layer Perceptron (MLP) and support vector machine (SVM) methods
Identifiants
pubmed: 30593512
pii: g3.118.200998
doi: 10.1534/g3.118.200998
pmc: PMC6385991
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
601-618Informations de copyright
Copyright © 2019 Montesinos-López et al.
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