Research Article
A Phenomic Algorithm for Inference of Gene Networks Using S-Systems and Memetic Search
@INPROCEEDINGS{10.1007/978-3-642-32615-8_24, author={Rio D’Souza and K. Sekaran and A. Kandasamy}, title={A Phenomic Algorithm for Inference of Gene Networks Using S-Systems and Memetic Search}, proceedings={Bio-Inspired Models of Network, Information, and Computing Systems. 5th International ICST Conference, BIONETICS 2010, Boston, USA, December 1-3, 2010, Revised Selected Papers}, proceedings_a={BIONETICS}, year={2012}, month={10}, keywords={Microarray data analysis Gene networks Evolutionary algorithms S-systems Memetic search Phenomic algorithms}, doi={10.1007/978-3-642-32615-8_24} }- Rio D’Souza
K. Sekaran
A. Kandasamy
Year: 2012
A Phenomic Algorithm for Inference of Gene Networks Using S-Systems and Memetic Search
BIONETICS
Springer
DOI: 10.1007/978-3-642-32615-8_24
Abstract
In recent years, evolutionary methods have seen unprecedented success in elucidation of gene networks, especially from microarray data. We have implemented the Phenomic Algorithm which is an evolutionary method for inference of gene networks based on population dynamics. We have used S-systems to model gene interactions and applied memetic search to fine tune the parameters of the inferred networks. We have tested the novel algorithm on artificial gene expression datasets obtained from simulated gene networks. We have also compared the results to those obtained from two other similar algorithms. Results showed that the new method, which we call as Phenomic Algorithm with Memetic Search (PAMS), is an effective method for inference of gene networks.