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Article

Extension of the bayesian alphabet for genomic selection.

BMC bioinformatics - 23 May 2011

Habier David, Fernando Rohan L, Kizilkaya Kadir, Garrick Dorian J

Abstract excerpt

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 inference of the number of QTL and accuracy of genomic estimated breeding values (GEBVs), using simulated scenarios and...

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Identifiers

PMID: 21605355
DOI: 10.1186/1471-2105-12-186
PMCID: PMC3144464

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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