A benchmarking between deep learning, support vector machine and bayesian threshold best linear unbiased prediction for predicting ordinal traits in plant breeding
Type:
Title:
A benchmarking between deep learning, support vector machine and bayesian threshold best linear unbiased prediction for predicting ordinal traits in plant breeding
Author:
Montesinos-Lopez, O.A.;
https://orcid.org/0000-0002-3973-6547
Scopus ID
Items in this Repository
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Martin-Vallejo, J.;
Crossa, J.;
Gianola, D.;
Hernández Suárez, C.M.;
Montesinos-Lopez, A.;
Juliana, P.;
Singh, R.P.
Montesinos-Lopez, O.A.
https://orcid.org/0000-0002-3973-6547
Scopus ID
Items in this Repository
View
Martin-Vallejo, J.;
Crossa, J.;
Gianola, D.;
Hernández Suárez, C.M.;
Montesinos-Lopez, A.;
Juliana, P.;
Singh, R.P.
Year:
2019
Copyright:
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Journal:
G3 : genes - genomes - genetics; G3: Genes, Genomes, Genetics
Journal volume:
9; 10
Journal issue:
2; 2
Pages:
601-618
Place:
Bethesda, MD
Publisher:
Genetics Society of America; Genetics Society of America
Citation:
A benchmarking between deep learning, support vector machine and bayesian threshold best linear unbiased prediction for predicting ordinal traits in plant breeding. 2019. Montesinos-Lopez, O.A.; Martin-Vallejo, J.; Crossa, J.; Gianola, D.; Hernández Suárez, C.M.; Montesinos-Lopez, A.; Juliana, P.; Singh, R.P.. G3 : genes - genomes - genetics G3: Genes, Genomes, Genetics 9 10 (2)(2): 601-618. DOI: 10.1534/g3.118.200998 DOI: 10.1534/g3.118.200998 Bethesda, MD. Genetics Society of America. Genetics Society of America.
