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| About 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. | ||
| Download AntEpiSeeker 1.0 | ||
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| Documentation | ||
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Two-way interactions detected from an experimental data example (6124 markers, 3503 samples). The results excluding single significant SNPs. | Contact | |
Yupeng Wang: wyp1125@uga.edu Dr. Romdhane Rekaya: rrekaya@uga.edu |
