AntEpiSeeker: Epistatic interactions of multiple single nucleotide polymorphisms (SNPs) are now believed to affect individual susceptibility to common diseases. The detection of such interactions, however, is a challenging task in large scale association studies. The ant colony optimization algorithm (ACO) has been shown to be useful in detecting epistatic interactions. AntEpiSeeker, a new two-stage ant colony optimization algorithm, is a powerful and efficient tool for detecting epistasis in a case-control design.

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References in zbMATH (referenced in 2 articles )

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  1. Yuan, Lin; Yuan, Chang-An; Huang, De-Shuang: FAACOSE: a fast adaptive ant colony optimization algorithm for detecting SNP epistasis (2017)
  2. Christmas, Jacqueline; Keedwell, Edward; Frayling, Timothy M.; Perry, John R. B.: Ant colony optimisation to identify genetic variant association with type 2 diabetes (2011) ioport