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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, *
* Auteur correspondant
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
Déposant : Anne Siegel <>
Soumis le : vendredi 12 octobre 2007 - 12:08:58
Dernière modification le : mercredi 7 octobre 2020 - 10:10:13

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  • HAL Id : inria-00178819, version 1
  • PRODINRA : 248286

Citation

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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