Evolving gene regulatory networks: a sensitivity-based approach

Authors:
Yu-Ting Hsiao;Wei-Po Lee
Affiliations:
Department of Information Management, National Sun Yat-sen University, Kaohsiung, Taiwan;Department of Information Management, National Sun Yat-sen University, Kaohsiung, Taiwan
Venue:
ICIC'11 Proceedings of the 7th international conference on Intelligent Computing: bio-inspired computing and applications
Year:
2011

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Abstract

Constructing genetic regulatory networks (GRNs) from expression data is one of the most important issues in systems biology research. To automate the procedure of network construction, we develop an evolution framework to infer the S-system network models. Our framework mainly includes a sensitivity analysis method and a hybrid GA-PSO method to infer appropriate network parameters. To validate the proposed methods, experiments have been conducted and the results show the promise of our approach.