SAMA: A Fast Self-Adaptive Memetic Algorithm for Detecting SNP-SNP Interactions Associated with Disease

Detecting SNP-SNP interactions associated with disease is significant in genome-wide association study (GWAS). Owing to intensive computational burden and diversity of disease models, existing methods have drawbacks on low detection power and long running time. To tackle these drawbacks, a fast self...

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Bibliographic Details
Published in:	BioMed research international Vol. 2020; no. 2020; pp. 1 - 11
Main Authors:	Li, Yuan, Zhao, Yuhai, Guan, Boxin, Yin, Ying
Format:	Journal Article
Language:	English
Published:	Cairo, Egypt Hindawi Publishing Corporation 2020 Hindawi John Wiley & Sons, Inc
Subjects:	Adaptive algorithms Adaptive search techniques Algorithms Comparative studies Computer applications Computer Simulation Datasets Disease Epistasis, Genetic - genetics Evolutionary algorithms Genetic algorithms Genome-wide association studies Genome-Wide Association Study - methods Genomes Genotype & phenotype Humans Mutation Optimization algorithms Polymorphism, Single Nucleotide - genetics Search algorithms
ISSN:	2314-6133, 2314-6141, 2314-6141
Online Access:	Get full text
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