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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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Bibliografske podrobnosti
izdano v:Genet Sel Evol
Main Authors: Zhao, Tianjing, Fernando, Rohan, Garrick, Dorian, Cheng, Hao
Format: Artigo
Jezik:Inglês
Izdano: BioMed Central 2020
Teme:
Online dostop: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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