Modeling and simulation in systems biology seeks to understand the dynamic behavior of living cells. Biological knowledge is quickly increasing, and modeling and simulation are now faced with systems of complex control, with stochastic effects and increasing size. Formal modeling approaches are thus essential for proper model verification and system prediction. The Biocomputing team develops and studies languages for modeling and simulating bio-molecular systems as well as static analysis methods. Our approach is based on concurrent programming languages with stochastic semantics.
Cédric Lhoussaine
Modélisation de l'absorption intestinale du glucose pour la prédiction du diabète de type 2.
Apprentissage automatique de réseaux d'interactions dans les écosystèmes marins
Segmentation d'images de microscopie cellulaire par apprentissage profond 16/11/2022
Exact and Structural Simplifications of Biological Reaction Networks 28/02/2017
Modélisation spatiale des effets de la communauté 26/03/2014