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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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| Publicat a: | Genet Sel Evol |
|---|---|
| Autors principals: | , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BioMed Central
2020
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| Matèries: | |
| Accés en línia: | 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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