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Article

LASSO with cross-validation for genomic selection.

Genetics research - 1 Dec 2009

Usai M Graziano, Goddard Mike E, Hayes Ben J

Abstract excerpt

We used a least absolute shrinkage and selection operator (LASSO) approach to estimate marker effects for genomic selection. The least angle regression (LARS) algorithm and cross-validation were used to define the best subset of markers to include in the model. The LASSO-LARS approach was tested on two data sets: a simulated data set with 5865 individuals and 6000 Single Nucleotide Polymorphisms (SNPs); and a...

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PMID: 20122298
DOI: 10.1017/S0016672309990334

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