Date Added: Apr 2010
The reconstruction of gene networks has become an important activity in Systems Biology. The potential for better methods of drug discovery and disease diagnosis hinges upon the understanding of the interaction networks between the genes. Evolutionary methods are proving to be successful in such problems and a number of such methods have been proposed. However, all these methods are based on processing of genotypic information. The authors present evolutionary algorithms for reconstructing gene networks from expression data using phenotypic interactions, thereby avoiding the need for an explicit objective function. Specifically, they implement the Phenomic algorithm and validate it for the reconstruction of gene networks.