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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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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2011
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| Assuntos: | |
| Acesso em linha: | 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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