Detection of epistatic effects with logic regression and a classical linear regression model

DOI10.1515/sagmb-2013-0028zbMath1296.92051OpenAlexW1972399063WikidataQ48897423 ScholiaQ48897423MaRDI QIDQ3191807

Katja Ickstadt, Magdalena Malina, Małgorzata Bogdan, Martin Posch, Holger Schwender

Publication date: 7 October 2014

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

Full work available at URL: https://doi.org/10.1515/sagmb-2013-0028

zbMATH Keywords

generalized linear modelsexperimental studylogic regressionepistatic effectsCockerham's modelhigh order interactions

Mathematics Subject Classification ID

General biostatistics (92B15)

Uses Software

• SNPmaxsel
• R/qtl
• LogicReg

Cites Work

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• Bagging predictors
• Optimization by Simulated Annealing
• Exploring interactions in high-dimensional genomic data: an overview of logic regression, with applications
• Locating multiple interacting quantitative trait loci with the zero-inflated generalized Poisson regression
• Multiple Testing for SNP-SNP Interactions
• Extending the Modified Bayesian Information Criterion (mBIC) to Dense Markers and Multiple Interval Mapping
• Identification of SNP interactions using logic regression
• Mixture Generalized Linear Models for Multiple Interval Mapping of Quantitative Trait Loci in Experimental Crosses
• Random forests

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