Exploring interactions in high-dimensional genomic data: an overview of logic regression, with applications

DOI10.1016/J.JMVA.2004.02.010zbMath1047.62071OpenAlexW2143865774MaRDI QIDQ1876996

Charles Kooperberg, Michael L. LeBlanc, Ingo Ruczinski

Publication date: 16 August 2004

Published in: Journal of Multivariate Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jmva.2004.02.010

zbMATH Keywords

Boolean logicInteractionsAdaptive model selectionBinary variablesSingle nucleotide polymorphisms

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Linear inference, regression (62J99)

Related Items (5)

Detection of epistatic effects with logic regression and a classical linear regression model ⋮ Standard statistical tools for the breed allocation problem ⋮ Testing SNPs and sets of SNPs for importance in association studies ⋮ A novel approach to cancer staging: application to esophageal cancer ⋮ Latent variable modeling paradigms for genotype-trait association studies

Uses Software

• R
• S-PLUS
• LogicReg

Cites Work

• Multivariate adaptive regression splines
• Survival Trees by Goodness of Split
• Combining biomarkers to detect disease with application to prostate cancer
• The elements of statistical learning. Data mining, inference, and prediction
• Random forests
• A new look at the statistical model identification
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