Article
Bayesian methods applied to GWAS.
Methods in molecular biology (Clifton, N.J.) - 1 Jan 2013
Fernando Rohan L, Garrick Dorian
Abstract excerpt
Bayesian multiple-regression methods are being successfully used for genomic prediction and selection. These regression models simultaneously fit many more markers than the number of observations available for the analysis. Thus, the Bayes theorem is used to combine prior beliefs of marker effects, which are expressed in terms of prior distributions, with information from data for inference. Often, the analyses...
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