Combinatorial models for evolving representations of dynamical behaviours in biological networks
Year: 2025
Type: article
Abstract: This theme issue is dedicated to ‘combinatorial’ models and their capacity to represent biological regulatory networks. As opposed to standard models using differential equations, ‘combinatorial’ models constitute a class of systems whose main property is that their global dynamics can be efficiently computed and their characterization rigorously proved, even in high-dimensional systems. Combinatorial models include Boolean networks and other discrete formalisms, piecewise affine or threshold networks and switching system models, as well as ‘coloured’ networks. This issue includes several recent examples of these formalisms and their contribution to analysis of biological networks.
Source: Interface Focus
Institutions: Centre National de la Recherche Scientifique, Institut national de recherche en sciences et technologies du numérique, Université Côte d'Azur, Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement, MACBES: Modélisation et commande de systèmes biologiques et écologiques, Aix-Marseille Université, Institut de Mathématiques de Marseille, Institut de recherche mathématique de Rennes, Université de Rennes
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: hybrid
OpenAlex ID: W4413435906