Optimal Control of Context-Sensitive Probabilistic Boolean Networks Using Integer Programming

被引:1
作者
Kobayashi, Koichi [1 ]
Hiraishi, Kunihiko [1 ]
机构
[1] Japan Adv Inst Sci & Technol, Sch Informat Sci, Nomi, Ishikawa, Japan
来源
49TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC) | 2010年
关键词
D O I
10.1109/CDC.2010.5717793
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Boolean networks are well-known as one of the models of biological networks such as gene regulatory networks. In this paper, we propose a solving method of the optimal control problem of context-sensitive probabilistic Boolean networks (CS-PBNs), which are one of the extended models of Boolean networks. In the existing solving methods, it is necessary to compute state transition diagrams with 2(n) nodes for a given CS-PBN with n states. So the existing methods cannot be applied to large-scale networks. To avoid the computation of state transition diagrams, an integer programming-based approach is proposed. In the proposed method, a CS-PBN is transformed into a linear system with binary variables, and the optimal control problem is reduced to an integer linear programming problem, which can be computed relatively easier than the existing methods using state transition diagrams.
引用
收藏
页码:7507 / 7512
页数:6
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