Parameter identifiability example

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

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);

Parameter identifiability (optimization)

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.