Multiobjective multifactor dimensionality reduction to detect SNP-SNP interactions.

Journal: Bioinformatics (Oxford, England)

PMID: 29471406

Abstract

MOTIVATION: Single-nucleotide polymorphism (SNP)-SNP interactions (SSIs) are popular markers for understanding disease susceptibility. Multifactor dimensionality reduction (MDR) can successfully detect considerable SSIs. Currently, MDR-based methods mainly adopt a single-objective function (a single measure based on contingency tables) to detect SSIs. However, generally, a single-measure function might not yield favorable results due to potential model preferences and disease complexities.

Authors

Cheng-Hong Yang

Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan. chyang@cc.kuas.edu.tw.
Li-Yeh Chuang

Department of Chemical Engineering & Institute of Biotechnology and Chemical Engineering, I-Shou University, Kaohsiung, Taiwan. chuang@isu.edu.tw.
Yu-Da Lin

Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung, Taiwan. e0955767257@yahoo.com.tw.

Keywords

Case-Control Studies Coronary Artery Disease Epistasis, Genetic Genetic Predisposition to Disease Humans Models, Genetic Multifactor Dimensionality Reduction Polymorphism, Single Nucleotide

External Resources

View on PubMed Access via DOI PubMed (29471406)

Multiobjective multifactor dimensionality reduction to detect SNP-SNP interactions.

Abstract

Authors

Keywords

External Resources

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