Before revision: There are many different mathematical setups to model the dynamics of gene regulatory networks (GRNs), most based on Boolean networks or chemical kinetics ideas. Here we present an approach to model GRNs through a class of irreversible interacting particle systems called type-dependent stochastic spin models that depart from these traditions.
After revision: We describe an approach to model GRNs through a class of irreversible interacting particle systems called type-dependent stochastic spin models that depart from these traditions.