| dc.contributor.author | Sapin, E | |
| dc.contributor.author | Keedwell, E | |
| dc.contributor.author | Frayling, TM | |
| dc.date.accessioned | 2016-03-31T09:03:13Z | |
| dc.date.issued | 2013-03-19 | |
| dc.description.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 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 | en_GB |
| dc.description.sponsorship | This study makes use of data generated by the Wellcome Trust Case Control
Consortium. A full list of the investigators who contributed to the generation
of the data is available from http://www.wtccc.org.uk. Funding for the project
was provided by the Wellcome Trust under award 076113.
The work contained in this paper was funded by an EPSRC First Grant
(EP/J007439/1) and we acknowledge their kind support. | en_GB |
| dc.identifier.citation | International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2013, Granada, Spain, March 18-20, 2013. Proceedings. Copicentro Editorial 2013, pp. 449 - 456 | en_GB |
| dc.identifier.uri | http://hdl.handle.net/10871/20890 | |
| dc.language.iso | en | en_GB |
| dc.publisher | Copicentro Editorial | en_GB |
| dc.relation.url | http://iwbbio.ugr.es/2013/papers.php | en_GB |
| dc.rights | This is the final version of the article. Available from Universidad de Granada via the links in this record. | en_GB |
| dc.subject | Genome Wide Associations | en_GB |
| dc.subject | Type II diabetes, | en_GB |
| dc.subject | Single Nucleotide Polymorphisms | en_GB |
| dc.title | Ant Colony Optimisation for Exploring Logical Gene-Gene Associations in Genome Wide Association Studies | en_GB |
| dc.type | Conference paper | en_GB |
| dc.date.available | 2016-03-31T09:03:13Z | |
| dc.contributor.editor | Rojas, I | |
| dc.contributor.editor | Guzman, FMO | |
| dc.identifier.isbn | 978-84-15814-13-9 | |
