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Article

Precision Lasso: accounting for correlations and linear dependencies in high-dimensional genomic data.

Bioinformatics (Oxford, England) - 1 Apr 2019

Wang Haohan, Lengerich Benjamin J, Aragam Bryon, Xing Eric P

Abstract excerpt

MOTIVATION: Association studies to discover links between genetic markers and phenotypes are central to bioinformatics. Methods of regularized regression, such as variants of the Lasso, are popular for this task. Despite the good predictive performance of these methods in the average case, they suffer from unstable selections of correlated variables and inconsistent selections of linearly dependent variables....

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Identifiers

PMID: 30184048
DOI: 10.1093/bioinformatics/bty750
PMCID: PMC6449749

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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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