Probabilistic Control of Gene Networks

Abstract

In this paper, an approach based on Markov chains for controlling gene networks is proposed. The state of the network is represented as a probability distribution, while state transitions are considered to be probabilistic. An algorithm is proposed to determine a sequence of control actions that drives the state of a given network to within a desired state… (More)

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