Fast identification of biological pathways associated with a quantitative trait using group lasso with overlaps

DOI10.2202/1544-6115.1755zbMath1296.92072arXiv1201.5745OpenAlexW2075572237WikidataQ36379710 ScholiaQ36379710MaRDI QIDQ458798

Matt Silver, Giovanni Montana, Alzheimer's Disease Neuroimaging Initiative

Publication date: 8 October 2014

Published in: Statistical Applications in Genetics and Molecular Biology (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1201.5745

zbMATH Keywords

group lassoAlzheimer's diseasequantitative traitspathwaysGWAsimaging geneticspenalised regression

Mathematics Subject Classification ID

General biostatistics (92B15)

Related Items (3)

Large-scale multivariate sparse regression with applications to UK Biobank ⋮ A structured brain‐wide and genome‐wide association study using ADNI PET images ⋮ Jackknife model averaging prediction methods for complex phenotypes with gene expression levels by integrating external pathway information

This page was built for publication: Fast identification of biological pathways associated with a quantitative trait using group lasso with overlaps