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Chafika Chettaoui
Researcher at University of Évry Val d'Essonne
Publications - 7
Citations - 62
Chafika Chettaoui is an academic researcher from University of Évry Val d'Essonne. The author has contributed to research in topics: Game theory & Rewriting. The author has an hindex of 4, co-authored 7 publications receiving 62 citations. Previous affiliations of Chafika Chettaoui include Centre national de la recherche scientifique.
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Journal ArticleDOI
Games network and application to PAs system
TL;DR: A game theory based framework, named games network, is presented for modeling biological interactions which is a signal transduction pathway involved in cancer cell migration and has enabled a better understanding of the regulation involved in the PAs system.
Journal Article
Rewriting game theory as a foundation for state-based models of gene regulation
TL;DR: In this paper, a game-theoretic foundation for gene regulatory analysis based on the recent formalism of rewriting game theory is presented, with a graph-based framework for understanding compromises and interactions between players and for computing Nash equilibria.
Journal ArticleDOI
Microenvironnement cellulaire, PAI-1 et migration cancéreuse
Michel Malo,Cécile Charrière-Bertrand,Chafika Chettaoui,Elizabeth Fabre-Guillevin,François Maquerlot,Alexandra Lackmy,Benoît Vallée,Franck Delaplace,Georgia Barlovatz-Meimon +8 more
TL;DR: PAI-1 apparait donc comme une proteine matricellulaire capable of declencher le processus a l'echelle moleculaire, cellulaire, et tissulaire susceptible d'engager un pronostic concernant l'organisme entier.
Book ChapterDOI
Rewriting game theory as a foundation for state-based models of gene regulation
TL;DR: A game-theoretic foundation for gene regulatory analysis based on the recent formalism of rewriting game theory is presented and it is shown that their models are specific instances of a C/P game deduced from the K parameter.
Journal ArticleDOI
Modéliser les interactions moléculaires par la théorie des réseaux de jeux
TL;DR: A method to model biological systems, the theory of games networks, is presented, which extends game theory by multiplying the number of games, and by allowing agents to play several games simultaneously.