Modelling and analysis of gene regulatory network using feedback control theory

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

zbMATH Keywords

Markov processesfeedback controlgene regulatory networksbiologycomputational modelingstochastic gene expression

Mathematics Subject Classification ID

Continuous-time Markov processes on general state spaces (60J25) Stochastic systems in control theory (general) (93E03) Genetics and epigenetics (92D10)

Related Items (2)

Event-triggered dynamic output feedback control for genetic regulatory network systems ⋮ A novel approach of mining strong jumping emerging patterns based on BSC-tree

Uses Software

• Sostools

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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