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AntEpiSeeker: detecting epistatic interactions for case-control studies using a two-stage ant colony optimization algorithm
BACKGROUND: 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. Ant colony optimization (ACO) algorith...
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| Päätekijät: | , , , |
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| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
BioMed Central
2010
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2880958/ https://ncbi.nlm.nih.gov/pubmed/20426808 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1756-0500-3-117 |
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