Literature DB >> 19224735

Input-state approach to Boolean networks.

Daizhan Cheng1.   

Abstract

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.

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Year:  2009        PMID: 19224735     DOI: 10.1109/TNN.2008.2011359

Source DB:  PubMed          Journal:  IEEE Trans Neural Netw        ISSN: 1045-9227


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