| Uncertainty and variability in models of the cardiac action potential: Can we build trustworthy models? RH Johnstone, ETY Chang, R Bardenet, TP De Boer, DJ Gavaghan, ... Journal of molecular and cellular cardiology 96, 49-62, 2016 | 162 | 2016 |
| Assessment of an In Silico Mechanistic Model for Proarrhythmia Risk Prediction Under the CiPA Initiative Z Li, BJ Ridder, X Han, WW Wu, J Sheng, PN Tran, M Wu, A Randolph, ... Clinical Pharmacology & Therapeutics 105 (2), 466-475, 2019 | 135 | 2019 |
| Tailoring mathematical models to stem-cell derived cardiomyocyte lines can improve predictions of drug-induced changes to their electrophysiology CL Lei, K Wang, M Clerx, RH Johnstone, MP Hortigon-Vinagre, V Zamora, ... Frontiers in physiology 8, 986, 2017 | 46 | 2017 |
| Hierarchical Bayesian inference for ion channel screening dose-response data [version 2; peer review: 2 approved] RH Johnstone, DJ Gavaghan, RH Johnstone, R Bardenet, DJ Gavaghan, ... Wellcome open research 1, 2017 | 34 | 2017 |
| Hierarchical Bayesian modelling of variability and uncertainty in synthetic action potential traces RH Johnstone, R Bardenet, DJ Gavaghan, L Polonchuk, MR Davies, ... 2016 Computing in Cardiology Conference (CinC), 1089-1092, 2016 | 12 | 2016 |
| Uncertainty characterisation in action potential modelling for cardiac drug safety R Johnstone University of Oxford, 2018 | 6 | 2018 |
| cellmlmanip and chaste_codegen: automatic CellML to C++ code generation with fixes for singularities and automatically generated Jacobians M Hendrix, M Clerx, AU Tamuri, SM Keating, RH Johnstone, J Cooper, ... Wellcome Open Research 6, 2022 | 2 | 2022 |
| Hierarchical Bayesian fitting of concentration-effect models to ion channel screening data R Johnstone, R Bardenet, L Polonchuk, M Davies, D Gavaghan, ... Journal of Pharmacological and Toxicological Methods 88, 198, 2017 | 1 | 2017 |
| chaste codegen: automatic CellML to C++ code generatio n with fixes for singularities and automatically generate d Jacobians [version 1; peer review: awaiting peer review] M Hendrix, M Clerx, AU Tamuri, SM Keating, RH Johnstone, J Cooper, ... | | 2021 |
| chaste codegen: automatic CellML to C++ code generatio n with fixes for singularities and automatically generate d Jacobians [version 1; peer review: 2 approved, 1 approved with M Hendrix, M Clerx, AU Tamuri, SM Keating, RH Johnstone, J Cooper, ... | | 2021 |
| A comparison of existing and new methods for Torsade de Pointes risk classification based on multi-ion channel screening B McMillan, RH Johnstone, DJ Gavaghan, GR Mirams Elsevier 88 (2), 2017 | | 2017 |
| Hierarchical Bayesian inference for ion channel screening dose-response data [version 1; referees: awaiting peer review] RH Johnstone, R Bardenet, DJ Gavaghan, GR Mirams | | 2016 |
| Cell-specific mathematical models of cardiac electrophysiology R Johnstone, R Bardenet, T de Boer, D Gavaghan, M Davies, ... Journal of Pharmacological and Toxicological Methods 100 (81), 343, 2016 | | 2016 |
| Hierarchical Bayesian inference for ion channel screening dose− response data D Gavaghan, R Johnstone, G Mirams Wellcome Open Research 1, 2016 | | 2016 |
| Supplementary Material for: Uncertainty and variability in models of the cardiac action potential: can we build trustworthy models? RH Johnstone, ETY Chang, R Bardenet, TP de Boer, DJ Gavaghan, ... | | 2015 |
