Article
A non-parametric mixture model for genome-enabled prediction of genetic value for a quantitative trait.
Genetica - 1 Oct 2010
Gianola Daniel, Wu Xiao-Lin, Manfredi Eduardo, Simianer Henner
Abstract excerpt
A Bayesian nonparametric form of regression based on Dirichlet process priors is adapted to the analysis of quantitative traits possibly affected by cryptic forms of gene action, and to the context of SNP-assisted genomic selection, where the main objective is to predict a genomic signal on phenotype. The procedure clusters unknown genotypes into groups with distinct genetic values, but in a setting in which the...
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