Difference between revisions of "Parameter identifiability example"

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<h3>Parameter identifiability (optimization)</h3>
 
<h3>Parameter identifiability (optimization)</h3>
  
<br>[[File:parameter_identifiability_example_01.png]]<br>
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<br>[[File:parameter_identifiability_example_01.png]]<br><br>
  
 
Ready analysis results can be found in the folder:
 
Ready analysis results can be found in the folder:

Revision as of 15:36, 16 March 2022

Identifiability analysis infers how well the model parameters are approximated by the amount and quality of experimental data [1,2].

Contents

Reproducing a test case in BioUML

To reproduce a test case below in the BioUML workbench, go to the Analyses tab in the navigation pane and follow to analyses > Methods > Differential algebraic equations.

Identifiability analysis can be run in two ways:

  • to use a pre-created optimization document, double click on Parameter identifiability (optimization);
  • for auto-generation of an optimization document using the given settings, double click on Parameter identifiability (table).

Parameter identifiability (optimization)


Parameter identifiability example 01.png

Ready analysis results can be found in the folder:

data/Examples/DAE models/Data/Parameter Identifiability

Parameter identifiability (table)

References

  1. Raue A, Kreutz C, Maiwald T, Bachmann J, Schilling M, Klingmüller U, Timmer J (2009) Structural and practical identifiability analysis of partially observed dynamical models by exploiting the profile likelihood. Bioinformatics, 25(15):1923–1929.
  2. Raue A, Becker V, Klingmüller U, Timmer J (2010) Identifiability and observability analysis for experimental design in nonlinear dynamical models. Chaos, 20(4):045105.

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