Article
Improved Lasso for genomic selection.
Genetics research - 1 Feb 2011
Legarra Andrés, Robert-Granié Christèle, Croiseau Pascal, Guillaume François, Fritz Sébastien
Abstract excerpt
Empirical experience with genomic selection in dairy cattle suggests that the distribution of the effects of single nucleotide polymorphisms (SNPs) might be far from normality for some traits. An alternative, avoiding the use of arbitrary prior information, is the Bayesian Lasso (BL). Regular BL uses a common variance parameter for residual and SNP effects (BL1Var). We propose here a BL with different residual...
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.
