Modeling and Analysis of Gene Regulatory Networks

Gilles Bernot (), Jean-Paul Comet (), Adrien Richard (), Madalena Chaves (), Jean-Luc Gouzé () and Frédéric Dayan ()
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Gilles Bernot: I3S – UMR 6070 CNRS/UNSA, Algorithmes-Euclide-B
Jean-Paul Comet: I3S – UMR 6070 CNRS/UNSA, Algorithmes-Euclide-B
Adrien Richard: I3S – UMR 6070 CNRS/UNSA, Algorithmes-Euclide-B
Madalena Chaves: Biocore project-team, Inria Sophia Antipolis Méditerranée
Jean-Luc Gouzé: Biocore project-team, Inria Sophia Antipolis Méditerranée
Frédéric Dayan: SOBIOS SA

Chapter Chapter 2 in Modeling in Computational Biology and Biomedicine, 2013, pp 47-80 from Springer

Abstract: 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.

Keywords: Gene Regulation Network; State Graph; Interaction Graph; Stable Steady State; Regular Domain (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-31208-3_2

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DOI: 10.1007/978-3-642-31208-3_2

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