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Pac Symp Biocomput. 2000:293-304.

Algorithms for inferring qualitative models of biological networks.

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  • 1Human Genome Center, University of Tokyo, Japan. takutsu@ims.u-tokyo.ac.jp


Modeling genetic networks and metabolic networks is an important topic in bioinformatics. We propose a qualitative network model which is a combination of the Boolean network and qualitative reasoning, where qualitative reasoning is a kind of reasoning method well-studied in Artificial Intelligence. We also present algorithms for inferring qualitative networks from time series data and an algorithm for inferring S-systems (synergistic and saturable systems) from time series data, where S-systems are based on a particular kind of nonlinear differential equation and have been applied to the analysis of various biological systems.

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