AUTALASSO: an automatic adaptive LASSO for genome-wide prediction

AUTALASSO: an automatic adaptive LASSO for genome-wide prediction

Abstract Background Genome-wide prediction has become the method of choice in animal and plant breeding. Prediction of breeding values and phenotypes are routinely performed using large genomic data sets with number of markers on the order of several thousands to millions. The number of evaluated in...

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Bibliographic Details
Main Authors: Patrik Waldmann, Maja Ferenčaković, Gábor Mészáros, Negar Khayatzadeh, Ino Curik, Johann Sölkner
Format: Article
Language:English
Published: BMC 2019-04-01
Series:BMC Bioinformatics
Subjects:
Genomic selection
GWAS
Regularization
Mathematical optimization
Proximal algorithms
Online Access:http://link.springer.com/article/10.1186/s12859-019-2743-3

Internet

http://link.springer.com/article/10.1186/s12859-019-2743-3

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