Component-based Modeling and Reachability Analysis of Genetic Networks

Gregor Goessler 1, *
* Auteur correspondant
1 POP ART - Programming languages, Operating Systems, Parallelism, and Aspects for Real-Time
Inria Grenoble - Rhône-Alpes, LIG - Laboratoire d'Informatique de Grenoble
Abstract : Genetic regulatory networks have been modeled as discrete transition systems by many approaches, benefiting from a large number of formal verification algorithms available for the analysis of discrete transition systems. However, most of these techniques do not scale up well. In this article, we explore a modular approach for the analysis of genetic regulatory networks. We present a framework for modeling genetic regulatory networks in a modular yet faithful manner based on the mathematically well-founded formalism of piecewise linear differential inclusions. We then propose a compositional algorithm to efficiently analyze reachability properties of the model. A case study on embryonic cell differentiation involving several hundred cells shows the potential of this approach.
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Contributeur : Gregor Gössler <>
Soumis le : vendredi 5 décembre 2008 - 19:46:09
Dernière modification le : vendredi 12 octobre 2018 - 01:18:07
Document(s) archivé(s) le : lundi 7 juin 2010 - 23:49:51


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  • HAL Id : inria-00344856, version 1



Gregor Goessler. Component-based Modeling and Reachability Analysis of Genetic Networks. [Research Report] RR-6755, INRIA. 2008. 〈inria-00344856〉



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