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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 14:19
    Last Modified: 20 Aug 2013 18:07
    URI: http://usir.salford.ac.uk/id/eprint/17388

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