44 articles – 42 references  [version française]

hal-00339691, version 1

Rewriting Game Theory as a Foundation for State-Based Models of Gene Regulation

Chafika Chettaoui () 1, Franck Delaplace () 1, Pierre Lescanne () 2, Mun'delanji Vestergaard () 3, René Vestergaard () 3

Computational Methods in Systems Biology (CMSB) 4210 (2006) 257--270

Abstract: We present a game-theoretic foundation for gene regulatory analysis based on the recent formalism of rewriting game theory. Rewrit- ing game theory is discrete and comes with a graph-based framework for understanding compromises and interactions between players and for computing Nash equilibria. The formalism explicitly represents the dy- namics of its Nash equilibria and, therefore, is a suitable foundation for the study of steady states in discrete modelling. We apply the formalism to the discrete analysis of gene regulatory networks introduced by R. Thomas and S. Kauffman. Specifically, we show that their models are specific instances of a C/P game deduced from the K parameter.

  • 1:  Informatique, Biologie Intégrative et Systèmes Complexes (IBISC)
  • CNRS : FRE3190 – Université d'Evry-Val d'Essonne
  • 2:  Laboratoire de l'Informatique du Parallélisme (LIP)
  • Université de Lyon – CNRS : UMR5668 – INRIA – École Normale Supérieure - Lyon – Université Claude Bernard - Lyon I
  • 3:  Japan Advanced Institute of Science and Technology (JAIST)
  • JAIST
  • Domain : Cognitive science/Computer science
    Computer Science/Bioinformatics
    Life Sciences/Quantitative Methods
    Computer Science/Computer Science and Game Theory
    Computer Science/Modeling and Simulation
    Life Sciences/Human health and pathology/Tissues and Organs
    Life Sciences/Human health and pathology/Urology and Nephrology
    Life Sciences/Cellular Biology/Cell Behavior
 
  • hal-00339691, version 1
  • oai:hal.archives-ouvertes.fr:hal-00339691
  • From: 
  • Submitted on: Tuesday, 18 November 2008 15:49:23
  • Updated on: Wednesday, 19 November 2008 00:27:13