epiACO - a method for identifying epistasis based on ant Colony optimization algorithm

epiACO - a method for identifying epistasis based on ant Colony optimization algorithm

Abstract Background Identifying epistasis or epistatic interactions, which refer to nonlinear interaction effects of single nucleotide polymorphisms (SNPs), is essential to understand disease susceptibility and to detect genetic architectures underlying complex diseases. Though many works have been...

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Bibliographic Details
Main Authors: Yingxia Sun, Junliang Shang, Jin-Xing Liu, Shengjun Li, Chun-Hou Zheng
Format: Article
Language:English
Published: BMC 2017-07-01
Series:BioData Mining
Subjects:
Epistatic interactions
Ant colony optimization
Bayesian network
Mutual information
Online Access:http://link.springer.com/article/10.1186/s13040-017-0143-7

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http://link.springer.com/article/10.1186/s13040-017-0143-7

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