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Genomic breeding value prediction using three Bayesian methods and application to reduced density marker panels

BACKGROUND: Bayesian approaches for predicting genomic breeding values (GEBV) have been proposed that allow for different variances for individual markers resulting in a shrinkage procedure that uses prior information to coerce negligible effects towards zero. These approaches have generally assumed...

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主要な著者: Cleveland, Matthew A, Forni, Selma, Deeb, Nader, Maltecca, Christian
フォーマット: Artigo
言語:Inglês
出版事項: BioMed Central 2010
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC2857848/
https://ncbi.nlm.nih.gov/pubmed/20380760
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1753-6561-4-S1-S6
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