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Title: A phenomic algorithm for inference of gene networks using S-systems and memetic search
Authors: D'Douza, R.G.L.
Sekaran, K.C.
Kandasamy, A.
Issue Date: 2012
Citation: Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, 2012, Vol.87 LNICST, , pp.229-237
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. � 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering.
Appears in Collections:2. Conference Papers

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