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Inferring the function of genes from synthetic lethal mutations

Ray, O and Bryant, CH 2008, 'Inferring the function of genes from synthetic lethal mutations' , in: Complex, Intelligent and Software Intensive Systems , IEEE Computer Society, USA, pp. 667-671.

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Abstract

Techniques for detecting synthetic lethal mutations in double gene deletion experiments are emerging as powerful tool for analysing genes in parallel or overlapping pathways with a shared function. This paper introduces a logic-based approach that uses synthetic lethal mutations for mapping genes of unknown function to enzymes in a known metabolic network. We show how such mappings can be automatically computed by a logical learning system called eXtended Hybrid Abductive Inductive Learning (XHAIL).

Item Type: Book Section
Editors: Xhafa, F and Barolli, L
Uncontrolled Keywords: Artificial intelligence, bioinformatics, logic programming
Themes: Subjects outside of the University Themes
Schools: Colleges and Schools > College of Science & Technology
Colleges and Schools > College of Science & Technology > School of Computing, Science and Engineering
Colleges and Schools > College of Science & Technology > School of Computing, Science and Engineering > Data Mining and Pattern Recognition Research Centre
Publisher: IEEE Computer Society
Refereed: Yes
ISBN: 978-0-7695-3109-0
Related URLs:
Depositing User: Dr Chris H. Bryant
Date Deposited: 19 Aug 2011 13:19
Last Modified: 20 Aug 2013 17:07
URI: http://usir.salford.ac.uk/id/eprint/17388

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