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
2 BIOCORE - Biological control of artificial ecosystems
LOV - Laboratoire d'océanographie de Villefranche, CRISAM - Inria Sophia Antipolis - Méditerranée , INRA - Institut National de la Recherche Agronomique
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.
Type de document :
Chapitre d'ouvrage
Cazals, Frédéric and Kornprobst, Pierre. Modeling in Computational Biology and Biomedicine, Springer, pp.47-80, 2013, 〈10.1007/978-3-642-31208-3_2〉
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https://hal.inria.fr/hal-00848394
Contributeur : Jean-Luc Gouzé <>
Soumis le : vendredi 26 juillet 2013 - 10:30:13
Dernière modification le : lundi 4 décembre 2017 - 15:14:11

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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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