PottersWheel is a MATLAB toolbox for mathematical modeling of time-dependent dynamical systems that can be expressed as chemical reaction networks or ordinary differential equations (ODEs).
The dynamical system is formalized into a set of reactions or differential equations using a visual model designer or a text editor.
The user may select from several numerical integrators, optimization algorithms, and calibration strategies like fitting in normal or logarithmic parameter space.
For lower p-values, the model is Apart from further chi-squared based characteristics like AIC and BIC, data-model-residual analyses exist, e.g. to investigate whether the residuals follow a Gaussian distribution.
Then, daughter-models are created and fitted to the data, preferably using batch processing strategies based on MATLAB scripts.
As a starting point to envision suitable model variants, the PottersWheel equalizer may be used to understand the dynamic behavior of the original system.
The driving input designer allows investigating the effect of a continuous, ramp, or pulse stimulation in combination with varying initial concentrations using the equalizer.
[2] For characterizing functional relationships between the non-identifiable parameters PottersWheel applies random and systematic fit sequences.