FAACOSE: a fast adaptive ant colony optimization algorithm for detecting SNP epistasis

DOI10.1155/2017/5024867zbMath1373.93185OpenAlexW2751604936MaRDI QIDQ1674812

De-Shuang Huang, Chang-An Yuan, Yuan, Lin

Publication date: 26 October 2017

Published in: Complexity (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2017/5024867

zbMATH Keywords

fast adaptive ant colony optimization algorithm

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59) Adaptive control/observation systems (93C40) Medical applications (general) (92C50)

Related Items (1)

FAACOSE

Uses Software

• IMPUTE
• SFAPS
• eQTL epistasis
• AntEpiSeeker
• MACOED
• chifish

Cites Work

• A Network Algorithm for Performing Fisher's Exact Test in r × c Contingency Tables
• An ant colony optimization algorithm for shop scheduling problems
• A survey of exact inference for contingency tables. With comments and a rejoinder by the author
• Aspects of the design and analysis of high-dimensional SNP studies for disease risk estimation

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