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Toxicology Research|February 20, 2018
Early afterdepolarisation tendency as a simulated pro-arrhythmic risk indicatorBeth McMillan, David J Gavaghan, Gary R MiramsWellcome Open Research|December 6, 2016
Hierarchical Bayesian inference for ion channel screening dose-response dataRoss H Johnstone, Rémi Bardenet, David J Gavaghan, et al.Biophysical Journal|September 9, 2019
Four Ways to Fit an Ion Channel ModelMichael Clerx, Kylie A Beattie, David J Gavaghan, et al.Computer Methods and Programs in Biomedicine|July 21, 2023
Model-driven optimal experimental design for calibrating cardiac electrophysiology modelsChon Lok Lei, Michael Clerx, David J Gavaghan, et al.Bulletin of Mathematical Biology|October 7, 2018
Representation of Multiple Cellular Phenotypes Within Tissue-Level Simulations of Cardiac ElectrophysiologyLouise A Bowler, David J Gavaghan, Gary R Mirams, et al.Biophysical Journal|August 27, 2019
Rapid Characterization of hERG Channel Kinetics I: Using an Automated High-Throughput SystemChon Lok Lei, Michael Clerx, David J Gavaghan, et al.Progress in Biophysics and Molecular Biology|May 30, 2018
Reproducible model development in the cardiac electrophysiology Web LabAidan C Daly, Michael Clerx, Kylie A Beattie, et al.Computing in Cardiology|August 8, 2023
Hierarchical Bayesian Modelling of Variability and Uncertainty in Synthetic Action Potential TracesRoss H Johnstone, Rémi Bardenet, David J Gavaghan, et al.Plos Computational Biology|July 7, 2025
Comparison of in silico predictions of action potential duration in response to inhibition of IKr and ICaL with new human ex vivo recordingsYann-Stanislas H M Barral, Liudmila Polonchuk, Michael Clerx, et al.Journal of Pharmacological and Toxicological Methods|April 30, 2013
Evaluation of an in silico cardiac safety assay: using ion channel screening data to predict QT interval changes in the rabbit ventricular wedgeKylie A Beattie, Chris Luscombe, Geoff Williams, et al.Pageof 14