Using the results, we formulate sufficient conditions for the existence of multiple attractors resp. We state rules to explicitly construct attractors of the system from subnetwork attractors. In this paper, we introduce the notion of symbolic steady state that allows us to identify subnetworks that govern the dynamics of the original network in some region of state space. Since the state space size grows exponentially with the number of network components, analysis of large networks is a complex problem. A discrete model of a biological regulatory network can be represented by a discrete function that contains all available information on interactions between network components and the rules governing the evolution of the network in a finite state space.
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