Optimization-Based Approaches to Control of Probabilistic Boolean Networks
AbstractControl of gene regulatory networks is one of the fundamental topics in systems biology. In the last decade, control theory of Boolean networks (BNs), which is well known as a model of gene regulatory networks, has been widely studied. In this review paper, our previously proposed methods on optimal control of probabilistic Boolean networks (PBNs) are introduced. First, the outline of PBNs is explained. Next, an optimal control method using polynomial optimization is explained. The finite-time optimal control problem is reduced to a polynomial optimization problem. Furthermore, another finite-time optimal control problem, which can be reduced to an integer programming problem, is also explained. View Full-Text
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Kobayashi, K.; Hiraishi, K. Optimization-Based Approaches to Control of Probabilistic Boolean Networks. Algorithms 2017, 10, 31.
Kobayashi K, Hiraishi K. Optimization-Based Approaches to Control of Probabilistic Boolean Networks. Algorithms. 2017; 10(1):31.Chicago/Turabian Style
Kobayashi, Koichi; Hiraishi, Kunihiko. 2017. "Optimization-Based Approaches to Control of Probabilistic Boolean Networks." Algorithms 10, no. 1: 31.
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