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Genomic Prediction from Multiple-Trait Bayesian Regression Methods Using Mixture Priors

Bayesian multiple-regression methods incorporating different mixture priors for marker effects are used widely in genomic prediction. Improvement in prediction accuracies from using those methods, such as BayesB, BayesC, and BayesCπ, have been shown in single-trait analyses with both simulated and r...

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Detalhes bibliográficos
Publicado no:Genetics
Main Authors: Cheng, Hao, Kizilkaya, Kadir, Zeng, Jian, Garrick, Dorian, Fernando, Rohan
Formato: Artigo
Idioma:Inglês
Publicado em: Genetics Society of America 2018
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5937171/
https://ncbi.nlm.nih.gov/pubmed/29514861
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1534/genetics.118.300650
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