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%0 Journal Article
%A Giavitto, Jean-Lousi
%A Klaudel, Hanna
%A Pommereau, Franck
%T Integrated Regulatory Networks (IRNs): Spatially organized biochemical modules
%D 2012
%B Theoretical Computer Science
%N 431
%P 219-234
%F Giavitto12a
%K spatial computing
%K model checking
%K regulatory network
%X In this paper, we aim at modeling and analyzing the regulation processes in multi-cellular biological systems, in particular tissues. The modeling frame- work is a generalization of several existing formalisms. In particular, it can be seen as an extension of logical regulatory networks (`a la Thomas) with information about cells physical state and environment, e.g., their spatial re- lationships. The resulting formalisms, called integrated regulatory networks (IRNs) is equipped with a transition systems semantics that preserves the possibility of an enumerative and exhaustive state space exploration. This paper presents the modeling framework, its semantics, as well as a prototype implementation that allowed preliminary experiments on some applications related to biology.
%1 1
%2 3
%U http://articles.ircam.fr/textes/Giavitto12a/