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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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| Publicado no: | Genet Sel Evol |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7087391/ https://ncbi.nlm.nih.gov/pubmed/32293243 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12711-020-00533-x |
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