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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Vydáno v:	BioMed research international Ročník 2020; číslo 2020; s. 1 - 11
Hlavní autoři:	Li, Yuan, Zhao, Yuhai, Guan, Boxin, Yin, Ying
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Cairo, Egypt Hindawi Publishing Corporation 2020 Hindawi John Wiley & Sons, Inc
Témata:	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
On-line přístup:	Získat plný text
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