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Output details

11 - Computer Science and Informatics

University of Exeter

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Output 13 of 38 in the submission

Article title

Ant colony optimisation to identify genetic variant association with type 2 diabetes

Type

D - Journal article

DOI

10.1016/j.ins.2010.12.005

Title of journal

Information Sciences

Article number

Volume number

181

Issue number

First page of article

1609

ISSN of journal

00200255

Year of publication

2011

URL

Number of additional authors

Additional information

<28> This paper describes the creation of an ant colony optimisation based algorithm for exploring single SNP and gene-gene interactions in real-world genome-wide association study data. The use of this algorithm could have profound implications for human health as it is able to efficiently search the large space of gene-gene interactions in association studies one of the first such algorithms to do so. This work was used as the basis for a successful EPSRC funding application (EP/J007439/1) that has resulted in further conference publications and a journal submission. This journal has a five year impact factor of 3.676.

Interdisciplinary

Cross-referral requested

Research group

1 - Artificial Intelligence

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract