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Article

Genome-wide association analysis by lasso penalized logistic regression.

Bioinformatics (Oxford, England) - 15 Mar 2009

Wu Tong Tong, Chen Yi Fang, Hastie Trevor, Sobel Eric, Lange Kenneth

Abstract excerpt

MOTIVATION: In ordinary regression, imposition of a lasso penalty makes continuous model selection straightforward. Lasso penalized regression is particularly advantageous when the number of predictors far exceeds the number of observations. METHOD: The present article evaluates the performance of lasso penalized logistic regression in case-control disease gene mapping with a large number of SNPs (single...

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Identifiers

PMID: 19176549
DOI: 10.1093/bioinformatics/btp041
PMCID: PMC2732298

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

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