CONTROL-COMPATIBLE STATE REDUCTION FOR BOOLEAN NETWORKS
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Reduction of gene regulatory networks is a key problem for genomic signal processing, in particular, to overcome the computational limitations to the design of optimal intervention policies for large networks. This paper proposes a greedy procedure to reduce the state space of a Boolean network with perturbation based on the basins of attraction in the network. We study the effects of the reduction on the steady-state mass for attractors and on the intervention performance of a greedy stationary control policy that is also dependent on the basins of attraction.
author list (cited authors)
Qian, X., & Dougherty, E. R.