AntEpiSeeker swMATH ID: 34292 Software Authors: Wang, Y.; Liu, X.; Robbins, K.; Rekaya, R. Description: 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. Homepage: http://nce.ads.uga.edu/~romdhane/AntEpiSeeker/index.html Related Software: SFAPS; chifish; MACOED; FAACOSE; eQTL epistasis; IMPUTE Cited in: 1 Publication Cited by 3 Authors 1 Huang, Deshuang 1 Yuan, Changan 1 Yuan, Lin Cited in 1 Serial 1 Complexity Cited in 3 Fields 1 Operations research, mathematical programming (90-XX) 1 Biology and other natural sciences (92-XX) 1 Systems theory; control (93-XX) Citations by Year