Noise in Biomolecular Systems: Modeling, Analysis, and Control Implications

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Abstract
Cite
Briat, Corentin, and Mustafa Khammash. “Noise in Biomolecular Systems: Modeling, Analysis, and Control Implications”. Annual Review of Control, Robotics, and Autonomous Systems, vol. 6, no. 1, 2023, pp. 283-11, https://doi.org/10.1146/annurev-control-042920-101825.
Briat, C., & Khammash, M. (2023). Noise in Biomolecular Systems: Modeling, Analysis, and Control Implications. Annual Review of Control, Robotics, and Autonomous Systems, 6(1), 283-311. https://doi.org/10.1146/annurev-control-042920-101825
Briat C, Khammash M. Noise in Biomolecular Systems: Modeling, Analysis, and Control Implications. Annual Review of Control, Robotics, and Autonomous Systems. 2023;6(1):283-311.
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Technology
Engineering (General)
Civil engineering (General)
Technology
Mechanical engineering and machinery
Refrences
Title Journal Journal Categories Citations Publication Date
MTNS 2014: The 21st International Symposium on Mathematical Theory of Networks and Systems 2014
The Serengeti Rules 2007
Stochastic Processes in Physics and Chemistry 2007
Stochastic Petri Nets 2002
Nonlinear Systems 2002
Citations
Title Journal Journal Categories Citations Publication Date
Regulation strategies for two-output biomolecular networks

 Journal of The Royal Society Interface
  • Science: Science (General)
 2023
Citations Analysis
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Science: Science (General)1
The category Science: Science (General) 1 is the most commonly referenced area in studies that cite this article.