Reduction of Boolean Networks

Abstract

Boolean networks have been successfully used in modelling gene regulatory networks. In this paper we propose a reduction method that reduces the complexity of a Boolean network but keeps dynamical properties and topological features and hence it makes the analysis easier; as a result, it allows for a better understanding of the role of network topology on the dynamics. In particular, we use the reduction method to study steady states of Boolean models.