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David Anderson : Stochastic models of biochemical reaction systems: network structure and qualitative dynamics

Biochemical reaction networks can be represented as graphs, with chemical complexes serving as vertices and reaction channels serving as directed edges. To each such network there is an associated stochastic process that models the behavior of the underlying system of interest. In this talk I will present results that relate the structure of the reaction network to the possible dynamics of the model. I will pay particular attention to how the results pertaining to the stochastic models compare and contrast with similar results pertaining to deterministic models.

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