Fast parallelized sampling of Bayesian regression models for whole-genome prediction

BACKGROUND: Bayesian regression models are widely used in genomic prediction, where the effects of all markers are estimated simultaneously by combining the information from the phenotypic data with priors for the marker effects and other parameters such as variance components or membership probabil...

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Detalles Bibliográficos
Autores principales: Zhao, Tianjing, Fernando, Rohan, Garrick, Dorian, Cheng, Hao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7087391/
https://www.ncbi.nlm.nih.gov/pubmed/32293243
http://dx.doi.org/10.1186/s12711-020-00533-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7087391/
https://www.ncbi.nlm.nih.gov/pubmed/32293243
http://dx.doi.org/10.1186/s12711-020-00533-x

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