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Extension of the bayesian alphabet for genomic selection

BACKGROUND: Two Bayesian methods, BayesCπ and BayesDπ, were developed for genomic prediction to address the drawback of BayesA and BayesB regarding the impact of prior hyperparameters and treat the prior probability π that a SNP has zero effect as unknown. The methods were compared in terms of infer...

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Autors principals: Habier, David, Fernando, Rohan L, Kizilkaya, Kadir, Garrick, Dorian J
Format: Artigo
Idioma:Inglês
Publicat: BioMed Central 2011
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC3144464/
https://ncbi.nlm.nih.gov/pubmed/21605355
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-12-186
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