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Control theory and systems biology / edited by Pablo A. Iglesias and Brian P. Ingalls.

Contributor(s): Material type: TextTextPublication details: Cambridge, Mass. : MIT Press, ©2010.Description: 1 online resource (ix, 345 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780262013345
  • 0262013347
  • 9780262258906
  • 0262258900
  • 9781615832347
  • 1615832343
  • 1282694553
  • 9781282694552
  • 9786612694554
  • 6612694556
Subject(s): Genre/Form: Additional physical formats: Print version:: Control theory and systems biology.DDC classification:
  • 571.7 22
LOC classification:
  • QH508 .C67 2010
NLM classification:
  • 2009 K-773
  • QU 34
Online resources:
Contents:
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.
Summary: 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.
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Electronic-Books Electronic-Books OPJGU Sonepat- Campus E-Books EBSCO Available

Includes bibliographical references and index.

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.

English.

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