Ant Colony Optimisation for Exploring Logical Gene-Gene Associations in Genome Wide Association Studies
Sapin, E; Keedwell, E; Frayling, TM
Date: 19 March 2013
Conference paper
Publisher
Copicentro Editorial
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Abstract
In this paper a search for the logical variants of gene-gene
interactions in genome-wide association study (GWAS) data using ant
colony optimisation is proposed. The method based on stochastic algorithms
is tested on a large established database from the Wellcome
Trust Case Control Consortium and is shown to discover logical ...
In this paper a search for the logical variants of gene-gene
interactions in genome-wide association study (GWAS) data using ant
colony optimisation is proposed. The method based on stochastic algorithms
is tested on a large established database from the Wellcome
Trust Case Control Consortium and is shown to discover logical operations
between combinations of single nucleotide polymorphisms that can
discriminate Type II diabetes. A variety of logical combinations are explored
and the best discovered associations are found within reasonable
computational time and are shown to be statistically significant
Computer Science
Faculty of Environment, Science and Economy
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