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Global Sensitivity Analysis for SimBiology

version 1.0.0 (71 KB) by Florian Augustin
Compute Sobol indices and perform a multiparametric global sensitivity analysis (MPGSA) of model responses.

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Updated 11 May 2020

GitHub view license on GitHub

The Global Sensitivity Analysis App for SimBiology is a MATLAB application to compute Sobol indices and perform a multiparametric global sensitivity analysis (MPGSA) of model responses.

Compute sampling based first and total order Sobol indices for model responses.
See also https://www.mathworks.com/help/simbio/ref/sbiosobol.html.

Perform a targeted sensitivity analysis using the multiparametric global sensitivity analysis (MPGSA) method.
See also https://www.mathworks.com/help/simbio/ref/sbiompgsa.html.

References:

Saltelli, Andrea, Paola Annoni, Ivano Azzini, Francesca Campolongo, Marco Ratto, and Stefano Tarantola. Variance Based Sensitivity Analysis of Model Output. Design and Estimator for the Total Sensitivity Index. Computer Physics Communications 181, no. 2 (February 2010): 259-270.

Tiemann, Christian A., Joep Vanlier, Maaike H. Oosterveer, Albert K. Groen, Peter A. J. Hilbers, and Natal A. W. van Riel. Parameter Trajectory Analysis to Identify Treatment Effects of Pharmacological Interventions. Edited by Scott Markel. PLoS Computational Biology 9, no. 8 (August 1, 2013): e1003166.

Cite As

Florian Augustin (2020). Global Sensitivity Analysis for SimBiology (https://github.com/mathworks-simbiology/GlobalSensitivityAnalysis), GitHub. Retrieved .

Comments and Ratings (2)

Jeremy Huard

Fulden Buyukozturk

MATLAB Release Compatibility
Created with R2020a
Compatible with R2019b and later releases
Platform Compatibility
Windows macOS Linux
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