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2008 Asia Simulation Conference - 7th International Conference on System Simulation and Scientific Computing
Constructing genetic regulatory networks from expression data is one of the most important issues in systems biology research. However, building regulatory models manually is a tedious task, especially when the number of genes involved increases with the complexity of regulation. To automate the procedure of network construction, we develop a methodology to infer S-systems as regulatory systems. Our work also deals with the scalability problem by an incremental evolution strategy and a networkdoi:10.1109/asc-icsc.2008.4675390 fatcat:hrshihegf5es3in47zustnxh2u