Input-State Approach to Boolean Networks

doi:10.1109/TNN.2008.2011359

CSpace > 系统科学研究所

	Input-State Approach to Boolean Networks
	Cheng, Daizhan
	2009-03-01
发表期刊	IEEE TRANSACTIONS ON NEURAL NETWORKS
ISSN	1045-9227
卷号	20 期号:3 页码:512-521
摘要	This paper investigates the structure of Boolean networks via input-state structure. Using the algebraic form proposed by the author, the logic-based input-state dynamics of Boolean networks, called the Boolean control networks, is converted into an algebraic discrete-time dynamic system. Then the structure of cycles of Boolean control systems is obtained as compounded cycles. Using the obtained input-state description, the structure of Boolean networks is investigated, and their attractors are revealed as nested compounded cycles, called rolling gears. This structure explains why small cycles mainly decide the behaviors of cellular networks. Some illustrative examples are presented.
关键词	Algebraic form input-state structure invariant subspace network transition matrix
DOI	10.1109/TNN.2008.2011359
语种	英语
资助项目	National Natural Science Foundation (NNSF) of China[60674022] ; National Natural Science Foundation (NNSF) of China[60736022] ; National Natural Science Foundation (NNSF) of China[60221301]
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Hardware & Architecture ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS记录号	WOS:000263831800012
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/8483
专题	系统科学研究所
通讯作者	Cheng, Daizhan
作者单位	Chinese Acad Sci, Inst Syst Sci, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Cheng, Daizhan. Input-State Approach to Boolean Networks[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS,2009,20(3):512-521.
APA	Cheng, Daizhan.(2009).Input-State Approach to Boolean Networks.IEEE TRANSACTIONS ON NEURAL NETWORKS,20(3),512-521.
MLA	Cheng, Daizhan."Input-State Approach to Boolean Networks".IEEE TRANSACTIONS ON NEURAL NETWORKS 20.3(2009):512-521.