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Qualitative Simulation of Large and Complex Genetic Regulatory Systems

Hidde de Jong, Michel Page

Modeling and simulation techniques developed within qualitative reasoning might be profitably used for the analysis of genetic regulatory systems. A major problem of current qualitative simulation techniques is their lack of upscalability. We describe a method that is able to deal with large and complex systems, and discuss its performance in simulation experiments with random regulatory networks.

Keywords: qualitative reasoning, bioinformatics

Citation: Hidde de Jong, Michel Page: Qualitative Simulation of Large and Complex Genetic Regulatory Systems. In W.Horn (ed.): ECAI2000, Proceedings of the 14th European Conference on Artificial Intelligence, IOS Press, Amsterdam, 2000, pp.141-145.


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ECAI-2000 is organised by the European Coordinating Committee for Artificial Intelligence (ECCAI) and hosted by the Humboldt University on behalf of Gesellschaft für Informatik.