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).
['Oliver Ray', 'Christopher H. Bryant']
Inferring the Function of Genes from Synthetic Lethal Mutations