(Quasi) multitask support vector regression with heuristic hyperparameter optimization for whole-genome prediction of complex traits: a case study with carcass traits in broilers

This study investigates nonlinear kernels for multitrait (MT) genomic prediction using support vector regression (SVR) models. We assessed the predictive ability delivered by single-trait (ST) and MT models for 2 carcass traits (CT1 and CT2) measured in purebred broiler chickens. The MT models also...

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Detalles Bibliográficos
Autores principales: Alves, Anderson Antonio Carvalho, Fernandes, Arthur Francisco Araujo, Lopes, Fernando Brito, Breen, Vivian, Hawken, Rachel, Gianola, Daniel, Rosa, Guilherme Jordão de Magalhães
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Genomic Prediction
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10411556/
https://www.ncbi.nlm.nih.gov/pubmed/37216670
http://dx.doi.org/10.1093/g3journal/jkad109

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10411556/
https://www.ncbi.nlm.nih.gov/pubmed/37216670
http://dx.doi.org/10.1093/g3journal/jkad109

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