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

ABSTRACT:

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 in many research work. However, this method has two disadvantages: low learning efficiency and easy to fall into local optimum. Genetic algorithm has the excellence of rapid global search and avoiding falling into local optimum. It is scalable and easy to integrate with other algorithms. This work proposes an epistasis mining approach based on genetic tabu algorithm and Bayesian network (Epi-GTBN). It uses genetic algorithm into the heuristic search strategy of Bayesian network. The ind

SUBMITTER: Guo Y 

PROVIDER: S-EPMC6712799 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature