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Inferring the function of genes from synthetic lethal mutations

Ray, O; Bryant, CH

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Authors

O Ray



Contributors

F Xhafa
Editor

L Barolli
Editor

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).

Citation

Ray, O., & Bryant, C. (2008). Inferring the function of genes from synthetic lethal mutations. In F. Xhafa, & L. Barolli (Eds.), Complex, Intelligent and Software Intensive Systems (667-671). https://doi.org/10.1109/CISIS.2008.124

Publication Date Mar 1, 2008
Deposit Date Aug 19, 2011
Publicly Available Date Mar 29, 2024
Pages 667-671
Book Title Complex, Intelligent and Software Intensive Systems
ISBN 978-0-7695-3109-0
DOI https://doi.org/10.1109/CISIS.2008.124
Keywords Artificial intelligence, bioinformatics, logic programming
Publisher URL http://doi.ieeecomputersociety.org/10.1109/CISIS.2008.124
Related Public URLs http://www.computer.org/
http://www.informatik.uni-trier.de/~ley/db/conf/cisis/cisis2008.html

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