Identification of Genetic Regulatory Networks: A Stochastic Hybrid Approach

Genetic regulatory networks are families of biochemically interacting genes that regulate most functions of a living cell via the synthesis of proteins and other essential molecules. In this paper we introduce a piecewise deterministic model of genetic network and devise a systematic procedure for the identification of the model parameters from experimental observations of the protein concentration dynamics. Numerical results on simulated data are presented to show the effectiveness of our method.