Sensitivity analysis approaches applied to systems biology models
Sensitivity analysis approaches applied to systems biology models
- Author(s): Z. Zi
- DOI: 10.1049/iet-syb.2011.0015
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- Author(s): Z. Zi 1
-
-
View affiliations
-
Affiliations:
1: BIOSS Centre for Biological Signalling Studies, University of Freiburg, Freiburg, Germany
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Affiliations:
1: BIOSS Centre for Biological Signalling Studies, University of Freiburg, Freiburg, Germany
- Source:
Volume 5, Issue 6,
November 2011,
p.
336 – 346
DOI: 10.1049/iet-syb.2011.0015 , Print ISSN 1751-8849, Online ISSN 1751-8857
With the rising application of systems biology, sensitivity analysis methods have been widely applied to study the biological systems, including metabolic networks, signalling pathways and genetic circuits. Sensitivity analysis can provide valuable insights about how robust the biological responses are with respect to the changes of biological parameters and which model inputs are the key factors that affect the model outputs. In addition, sensitivity analysis is valuable for guiding experimental analysis, model reduction and parameter estimation. Local and global sensitivity analysis approaches are the two types of sensitivity analysis that are commonly applied in systems biology. Local sensitivity analysis is a classic method that studies the impact of small perturbations on the model outputs. On the other hand, global sensitivity analysis approaches have been applied to understand how the model outputs are affected by large variations of the model input parameters. In this review, the author introduces the basic concepts of sensitivity analysis approaches applied to systems biology models. Moreover, the author discusses the advantages and disadvantages of different sensitivity analysis methods, how to choose a proper sensitivity analysis approach, the available sensitivity analysis tools for systems biology models and the caveats in the interpretation of sensitivity analysis results.
Inspec keywords: biochemistry; sensitivity analysis; cellular biophysics; perturbation theory; parameter estimation; molecular biophysics; physiological models
Other keywords:
Subjects: Physical chemistry of biomolecular solutions and condensed states; Cellular biophysics; Model reactions in molecular biophysics
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