Modeling and analysis of gene regulatory networks

Gilles Bernot 1 Jean-Paul Comet 1 Adrien Richard 1 Madalena Chaves 2 Jean-Luc Gouzé 2 Frédéric Dayan 3
1 Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Equipe BIOINFO
Laboratoire I3S - MDSC - Modèles Discrets pour les Systèmes Complexes
2 BIOCORE - Biological control of artificial ecosystems
INRA - Institut National de la Recherche Agronomique, CRISAM - Inria Sophia Antipolis - Méditerranée , LOV - Laboratoire d'océanographie de Villefranche
Abstract : This chapter describes basic principles for modeling genetic regulatory networks, using three different classes of formalisms: discrete, hybrid, and continuous differential systems. A short review of the mathematical tools for each formalism is presented. Based on several simple examples, which are worked out in detail, this chapter illustrates the study and analysis of the networks' dynamics, their temporal evolution and asymptotic behaviors.
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Contributor : Jean-Luc Gouzé <>
Submitted on : Friday, July 26, 2013 - 10:30:13 AM
Last modification on : Saturday, May 25, 2019 - 1:42:58 AM

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Gilles Bernot, Jean-Paul Comet, Adrien Richard, Madalena Chaves, Jean-Luc Gouzé, et al.. Modeling and analysis of gene regulatory networks. Cazals, Frédéric and Kornprobst, Pierre. Modeling in Computational Biology and Biomedicine, Springer, pp.47-80, 2013, ⟨10.1007/978-3-642-31208-3_2⟩. ⟨hal-00848394⟩



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