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Article

The LASSO and sparse least square regression methods for SNP selection in predicting quantitative traits.

IEEE/ACM transactions on computational biology and bioinformatics - 1 Jan 2012

Feng Zeny Z, Yang Xiaojian, Subedi Sanjeena, McNicholas Paul D

Abstract excerpt

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...

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PMID: 22025756
DOI: 10.1109/TCBB.2011.139

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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