Inferring the function of genes from synthetic lethal mutations

Ray, O and Bryant, CH ORCID: https://orcid.org/0000-0002-9002-8343 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
Themes:	Subjects outside of the University Themes
Schools:	Schools > School of Computing, Science and Engineering Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre
Publisher:	IEEE Computer Society
Refereed:	Yes
ISBN:	978-0-7695-3109-0
Related URLs:	Author Publisher http://www.informatik.uni-trier.de/~ley/...
Depositing User:	Dr Chris H. Bryant
Date Deposited:	19 Aug 2011 13:19
Last Modified:	16 Feb 2022 12:16
URI:	https://usir.salford.ac.uk/id/eprint/17388

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