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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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| Yayımlandı: | Genet Sel Evol |
|---|---|
| Asıl Yazarlar: | , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
BioMed Central
2020
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| Konular: | |
| Online Erişim: | 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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