Michael Clerx's repositories
making-figures
Tips on figure making, plus help with Inkscape and Matplotlib.
cellml-validation
A suite of CellML files used to test validation methods
Akwaboah-hipsc-model
This repository contains code and supplementary material for our computational hiPSC-CM model.
cellml1to2
Attempt at using XSLT to translate CellML 1.0 and 1.1 documents into the proposed CellML 2.0 format.
chi
Chi is an open source Python package which is designed for dose response modelling.
driving-term
Driving terms for ionic current models
eisner-example
Messing around with Jupyter and an example by Eisner et al.
FittingAlgorithm
The fitting algorithm of Beattie et al, modified to allow fitting to multiple protocols.
importance-of-binding-mechanism
Source code and data used in the article "Importance of modelling hERG binding in predicting drug-induced action potential prolongations for drug safety assessment" (Farm et al. Frontiers in Pharmacology, 2023)
ina-midpoints
Data and figures for "Variability in reported midpoints of (in)activation for cardiac INa"
iPSC-leak-artifact
Simulations and figures for manuscript showing descriptive ability of iPSC-CM+artifact models
mutations-scn5a
Code for Clerx, Heijman, Collins, Volders (2018) Predicting changes to INa from missense mutations in human SCN5A
optimiser-overview
Incomplete overview of optimisation methods
pycma
Fork of the Python CMA-ES repo
pystan
PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io
python-c-example
Example code of a C python extension