Journal article
The LASSO and Sparse Least Squares Regression Methods for SNP Selection in Predicting Quantitative Traits
Abstract
Recent work concerning quantitative traits of interest has focused on selecting a small subset of single nucleotide polymorphisms (SNPs) from amongst the SNPs responsible for the phenotypic variation of the trait. When considered as covariates, the large number of variables (SNPs) and their association with those in close proximity pose challenges for variable selection. The features of sparsity and shrinkage of regression coefficients of the …
Authors
Feng ZZ; Yang X; Subedi S; McNicholas PD
Journal
IEEE Transactions on Computational Biology and Bioinformatics, Vol. 9, No. 2, pp. 629–636
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
2012
DOI
10.1109/tcbb.2011.139
ISSN
1545-5963