FINDING AND ANALYZING THE MINIMUM SET OF DRIVER NODES IN CONTROL OF BOOLEAN NETWORKS
Wenpin Hou (),
Takeyuki Tamura (),
Wai-Ki Ching () and
Tatsuya Akutsu
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Wenpin Hou: Department of Mathematics, The University of Hong Kong, Pokfulam Road, Hong Kong 999077, Hong Kong
Takeyuki Tamura: Bioinformatics Center, Institute for Chemical Research, Kyoto University, Kyoto 611-0011, Japan
Wai-Ki Ching: Department of Mathematics, The University of Hong Kong, Pokfulam Road, Hong Kong 999077, Hong Kong
Tatsuya Akutsu: Bioinformatics Center, Institute for Chemical Research, Kyoto University, Kyoto 611-0011, Japan
Advances in Complex Systems (ACS), 2016, vol. 19, issue 03, 1-32
Abstract:
We study the minimum number of driver nodes control of which leads a Boolean network (BN) from an initial state to a target state in a specified number of time steps. We show that the problem is NP-hard and present an integer linear programming-based method that solves the problem exactly. We mathematically analyze the average size of the minimum set of driver nodes for random Boolean networks with bounded in-degree and with a small number of time steps. The results of computational experiments using randomly generated BNs show good agreements with theoretical analyses. A further examination in realistic BNs demonstrates the efficiency and generality of our theoretical analyses.
Keywords: Boolean networks; Boolean control; integer linear programming; genetic networks; driver nodes (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:wsi:acsxxx:v:19:y:2016:i:03:n:s0219525916500065
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DOI: 10.1142/S0219525916500065
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