Complex Qualitative Models in Biology: a new approach

Philippe Veber; Michel Le Borgne; Anne Siegel; Sandrine Lagarrigue; Ovidiu Radulescu

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

2 GARen - Génétique Animale

3 IRMAR - Institut de Recherche Mathématique de Rennes

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.

Document type :

Journal articles

Domain :

Computer Science [cs] / Bioinformatics [q-bio.QM]

Life Sciences [q-bio] / Quantitative Methods [q-bio.QM]

Complete list of metadatas

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

Complex Qualitative Models in Biology: a new approach

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Complex Qualitative Models in Biology: a new approach

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