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- Title
Extension of the bayesian alphabet for genomic selection.
- Authors
Habier, David; Fernando, Rohan L; Kizilkaya, Kadir; Garrick, Dorian J
- Abstract
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 real data from North American Holstein bulls.
- Publication
BMC bioinformatics, 2011, Vol 12, p186
- ISSN
1471-2105
- Publication type
Journal Article
- DOI
10.1186/1471-2105-12-186