Control theory and systems biology

Biological control systems Control theory Biochemical Phenomena Cell Physiological Processes Feedback, Physiological Models, Biological Systems Biology SCIENCE sähkökirjat
MIT Press
2010
EISBN 9780262258906
A primer on control engineering.
Modeling and analysis of stochastic biochemical networks.
Spatial modeling.
Quantifying properties of cell signaling cascades.
Control strategies in times of adversity.
Synthetic biology : a systems engineering perspective.
Graphs and the dynamics of biochemical networks.
A control-theoretic interpretation of metabolic control analysis.
Robustness and sensitivity analyses in cellular networks.
Structural robustness of biochemical networks : quantifying robustness and identifying fragilities.
Robustness of oscillations in biological systems.
A theory of approximation for stochastic biochemical processes.
System theoretic approaches to network reconstruction.
Identification of biochemical reaction networks using a parameter-free coordinate system.
This is a survey of how engineering techniques from control and systems theory can be used to help biologists understand the behaviour of cellular systems.
Modeling and analysis of stochastic biochemical networks.
Spatial modeling.
Quantifying properties of cell signaling cascades.
Control strategies in times of adversity.
Synthetic biology : a systems engineering perspective.
Graphs and the dynamics of biochemical networks.
A control-theoretic interpretation of metabolic control analysis.
Robustness and sensitivity analyses in cellular networks.
Structural robustness of biochemical networks : quantifying robustness and identifying fragilities.
Robustness of oscillations in biological systems.
A theory of approximation for stochastic biochemical processes.
System theoretic approaches to network reconstruction.
Identification of biochemical reaction networks using a parameter-free coordinate system.
This is a survey of how engineering techniques from control and systems theory can be used to help biologists understand the behaviour of cellular systems.
