## Abstract Gene regulatory networks are dynamic and stochastic in nature, and exhibit exquisite feedback and feedforward control loops that regulate their biological function at different levels. Modelling of such networks poses new challenges due, in part, to the small number of molecules involve
Stochastic geometry modelling of hybrid optical networks
โ Scribed by Christian Farinetto; Sergei Zuyev
- Publisher
- Elsevier Science
- Year
- 2004
- Tongue
- English
- Weight
- 168 KB
- Volume
- 57
- Category
- Article
- ISSN
- 0166-5316
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The need for more accurate analysis of real physical systems has led to the use of stochastic modelling of such systems. Many of these formulations have been the result of an extension of ordinary differential equations to include a white noise excitation. It has been shown (see, e.g. [l-3]) that wh
Biological functions in living cells are controlled by protein interaction and genetic networks. These molecular networks should be dynamically stable against various fluctuations which are inevitable in the living world. In this paper, we propose and study a stochastic model for the network regulat