Input-State Approach to Boolean Networks
文献类型:期刊论文
作者 | Cheng, Daizhan![]() |
刊名 | IEEE TRANSACTIONS ON NEURAL NETWORKS
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出版日期 | 2009-03-01 |
卷号 | 20期号:3页码:512-521 |
关键词 | Algebraic form input-state structure invariant subspace network transition matrix |
ISSN号 | 1045-9227 |
DOI | 10.1109/TNN.2008.2011359 |
英文摘要 | 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. |
语种 | 英语 |
WOS记录号 | WOS:000263831800012 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/8482] ![]() |
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. |
入库方式: OAI收割
来源:数学与系统科学研究院
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