CMDR based differential evolution identifies the epistatic interaction in genome-wide association studies.

Journal: Bioinformatics (Oxford, England)
PMID: 28379338

Abstract

MOTIVATION: Detecting epistatic interactions in genome-wide association studies (GWAS) is a computational challenge. Such huge numbers of single-nucleotide polymorphism (SNP) combinations limit the some of the powerful algorithms to be applied to detect the potential epistasis in large-scale SNP datasets.

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.

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