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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Khammash, M. Samad, H.E. |
| Copyright Year | 2005 |
| Description | Author affiliation: Department of Mechanical Engineering, University of California at Santa Barbara, Santa Barbara, CA 93106, USA khammash@engr.ucsb.eduand (Khammash, M.) |
| Abstract | Much of the mathematical modeling of genetic networks represents gene expression and regulation as deterministic processes. There is now, however, considerable experimental evidence indicating that significant stochastic fluctuations are present in these processes. Stochasticity is an inherent feature of biological dynamics, and as such, should be the subject of in-depth analysis. The investigation of stochastic properties in genetic systems involves the formulation of a correct representation of molecular noise, followed by the formulation of mathematically sound approximations for these representations. It also involves devising efficient computational algorithms capable of tackling the complexity of the dynamics involved. In this paper we review a number of these techniques and provide compelling examples that illustrate the richness of phenomena that can result from the interaction of dynamics and noise in genetic networks. |
| Starting Page | 2320 |
| Ending Page | 2325 |
| File Size | 1717849 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780395670 |
| DOI | 10.1109/CDC.2005.1582508 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-12-15 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | IEEE/EUCA |
| Subject Keyword | Stochastic processes Genetics Stochastic resonance Acoustic noise Biological system modeling Mathematical model Gene expression Fluctuations Stochastic systems Biology computing |
| Content Type | Text |
| Resource Type | Article |
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