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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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:||Schools > School of Computing, Science and Engineering
Schools > School of Computing, Science and Engineering > Salford Innovation Research Centre (SIRC)
|Publisher:||IEEE Computer Society|
|Depositing User:||Dr Chris H. Bryant|
|Date Deposited:||19 Aug 2011 13:19|
|Last Modified:||30 Nov 2015 23:59|
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