Modelling and analysis of gene regulatory network using feedback control theory
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Publication:5168756
DOI10.1080/00207720903144545zbMath1291.93288OpenAlexW2089465795MaRDI QIDQ5168756
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Publication date: 21 July 2014
Published in: International Journal of Systems Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207720903144545
Markov processesfeedback controlgene regulatory networksbiologycomputational modelingstochastic gene expression
Continuous-time Markov processes on general state spaces (60J25) Stochastic systems in control theory (general) (93E03) Genetics and epigenetics (92D10)
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Uses Software
Cites Work
- Logical identification of all steady states: The concept of feedback loop characteristic states
- Modeling the complexity of genetic networks: Understanding multigenic and pleiotropic regulation.
- Monotone semiflows generated by functional differential equations
- Oscillations and multiple steady states in a cyclic gene model with repression
- The internal model principle for linear multivariable regulators
- Dynamical behaviour of biological regulatory networks. I: Biological role of feedback loops and practical use of the concept of the loop- characteristic state
- Feedback control in intracellular signaling pathways: regulating chemotaxis in \textit{dictyostelium discoideum}
- Systems biology: from physiology to gene regulation
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