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Code to reproduce the simulations and figures in "Tailoring mathematical models to stem-cell derived cardiomyocyte lines can improve predictions of drug-induced changes to their electrophysiology"

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Tailoring mathematical models to stem-cell derived cardiomyocyte lines can improve predictions of drug-induced changes to their electrophysiology

This page contains the code accompanying the article Tailoring mathematical models to stem-cell derived cardiomyocyte lines can improve predictions of drug-induced changes to their electrophysiology by Chon Lok Lei, Ken Wang, Michael Clerx, Ross H. Johnstone, Maria P. Hortigon-Vinagre, Victor Zamora, Andrew Allan, Godfrey L. Smith, David J. Gavaghan, Gary R. Mirams and Liudmila Polonchuk.

See: https://doi.org/10.3389/fphys.2017.00986

Requirements

Python 2.7, including the modules numpy, scipy, matplotlib and cma (which can be installed using pip install cma).

CVODE 2.6 or higher (see https://computation.llnl.gov/projects/sundials or http://myokit.org/download).

How to use

To run all code, and recreate all figures, simply run the bash script run-all. On windows systems, the Python files called from this script can be invoked manually, e.g. python figure1a.py.

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Code to reproduce the simulations and figures in "Tailoring mathematical models to stem-cell derived cardiomyocyte lines can improve predictions of drug-induced changes to their electrophysiology"

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