This is a suite of Python codes and data for estimation of parameters in mathematical models of myocyte action potentials. The codes perform pre-processing of the data, statistical inference of parameter values in a mathematical model of action potential, and post-processing of results. The data consist of experimentally recorded action potential wave forms of rabbit ventricular myocytes. The data is due to RJ Gilchrist [orcid.org/0000-0001-5003-4362], FL Burton [orcid.org/0000-0002-6970-6250], RC Myles [orcid.org/0000-0003-4670-361X] and GL Smith [orcid.org/0000-0003-4821-9741]. The mathematical model used is [doi.org/10.1529/biophysj.104.047449]. The statistical inference method is based on a maximum-likelihood principle. The code dependencies include standard Python libraries and the myokit [myokit.org] and pints [github.com/pints-team/pints]packages. All dependencies are declared in the code by Python "import" statements. The code can be run as specified in the tcsh scripts "run_fit.sh" and "run_plot.sh".

The code and data are associated with a resarch paper currently under review for publication in a scientific journal. The description will be updated accordingly at a later date.