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A Multiple-Trait Bayesian Lasso for Genome-Enabled Analysis and Prediction of Complex Traits
A multiple-trait Bayesian LASSO (MBL) for genome-based analysis and prediction of quantitative traits is presented and applied to two real data sets. The data-generating model is a multivariate linear Bayesian regression on possibly a huge number of molecular markers, and with a Gaussian residual di...
Autores principales: | Gianola, Daniel, Fernando, Rohan L. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Genetics Society of America
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7017027/ https://www.ncbi.nlm.nih.gov/pubmed/31879318 http://dx.doi.org/10.1534/genetics.119.302934 |
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