Abstract
It is well known that theoretical analysis based on the mathematical predictive models of middle-sized genetic regulatory networks are crucial to understand the life at system level for systems biology. Since there doesn't exist an efficient mathematical model for the middle-sized or large-sized biological systems, it is also a challenge to theoretically investigate these networks. To overcome the limitations of the traditional continuous differential equations and discrete Boolean models, this paper aims to introduce a hybrid modelling approach for the general middle-sized genetic regulatory networks. This hybrid modelling method is able to quantitatively investigate the middle-sized or large-sized biological networks by merging the advantages of both continuous differential equation models and Boolean models.
Published Version
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