Epi-GTBN: an approach of epistasis mining based on genetic Tabu algorithm and Bayesian network

Background Mining epistatic loci which affects specific phenotypic traits is an important research issue in the field of biology. Bayesian network (BN) is a graphical model which can express the relationship between genetic loci and phenotype. Until now, it has been widely used into epistasis mining...

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Bibliographic Details
Published in:	BMC bioinformatics Vol. 20; no. 1; pp. 444 - 18
Main Authors:	Guo, Yang, Zhong, Zhiman, Yang, Chen, Hu, Jiangfeng, Jiang, Yaling, Liang, Zizhen, Gao, Hui, Liu, Jianxiao
Format:	Journal Article
Language:	English
Published:	London BioMed Central 28.08.2019 BioMed Central Ltd Springer Nature B.V BMC
Subjects:	Algorithms Bayesian analysis Bayesian network Bioinformatics Biological evolution Biomedical and Life Sciences Computational Biology/Bioinformatics Computer Appl. in Life Sciences Computer simulation Crossovers Datasets Epistasis Gene loci Genetic algorithm Genetic algorithms Genetic research Life Sciences Machine learning Methodology Methodology Article Microarrays Mining Mutation Networks analysis Optimization Phenotypes Search methods Tabu Tabu search China Epistasis Genetic algorithm Bayesian network Tabu
ISSN:	1471-2105, 1471-2105
Online Access:	Get full text
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