Complex Qualitative Models in Biology: a new approach

Philippe Veber 1 Michel Le Borgne 1 Anne Siegel 1 Sandrine Lagarrigue 2 Ovidiu Radulescu 1, 3, *
* Corresponding author
1 SYMBIOSE - Biological systems and models, bioinformatics and sequences
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : We advocate the use of qualitative models in the analysis of large biological systems. We show how qualitative models are linked to theoretical differential models and practical graphical models of biological networks. A new technique for analyzing qualitative models isintroduced, which is based on an efficient representation ofqualitative systems. As shown through several applications, this representation is a relevant tool for the understanding and testing of large and complex biological networks.
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https://hal.inria.fr/inria-00178819
Contributor : Anne Siegel <>
Submitted on : Friday, October 12, 2007 - 12:08:58 PM
Last modification on : Thursday, November 15, 2018 - 11:57:19 AM

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  • HAL Id : inria-00178819, version 1

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Philippe Veber, Michel Le Borgne, Anne Siegel, Sandrine Lagarrigue, Ovidiu Radulescu. Complex Qualitative Models in Biology: a new approach. Complexus, Karger, 2005, 2, pp.140-151. ⟨inria-00178819⟩

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