李俊樂教授

1. Lei, C.L., Whittaker, D.G. and Mirams, G. R. (2023). “The impact of uncertainty in hERG binding mechanism on in silico predictions of drug-induced proarrhythmic risk.” bioRxiv. https://doi.org/10.1101/2023.03.14.532553.
2. Cresswell, R., . . . , Lei, C.L., Tavener, S., Robinson, M. and Gavaghan, D.J. (2023). “Understanding the impact of numerical solvers on inference for differential equation models.” arXiv. https://arxiv.org/abs/2307.00749.
3. Shuttleworth, J.G., Lei, C.L., Whittaker, D.G. et al. (2023). “Empirical quantification of predictive uncertainty due to model discrepancy by training with an ensemble of experimental designs: an application to ion channel kinetics.” arXiv. https://arxiv.org/abs/2302.02942
4. Foster, T., Lei, C.L., Robinson, M., et al. (2020). “Model Evidence with Fast Tree Based Quadrature.” arXiv. https://arxiv.org/abs/2005.11300
5. Creswell, R., Lambert, B., Lei, C.L., et al. (2020). “Using flexible noise models to avoid noise model misspecification in inference of differential equation time series models.” arXiv. https://arxiv.org/abs/2011.04854

Peer-reviewed journal articles

1. Lei, C.L., Ng, H.M. et al. (2023). “What we learned from lifting COVID-19 restrictions in Macao in December 2022.” International Journal of Biological Sciences. (accepted.)
2. Lei, C.L.^#, Clerx, M., Gavaghan, D.J. and Mirams, G. R. (2023). “Model-driven optimal experimental design for calibrating cardiac electrophysiology models.” Computer Methods and Programs in Biomedicine, 107690. https://doi.org/10.1016/j.cmpb.2023.107690.
3. Ng, H.M.^*, Lei, C.L.^*, Fu, S.^* et al. (2023). “Heterologous vaccination with inactivated vaccine and mRNA vaccine augments antibodies against both spike and nucleocapsid proteins of SARS-CoV-2: a local study in Macao.” Frontiers in Immunology, 14:1131985. https://doi.org/10.3389/fimmu.2023.1131985.
4. Farm, H.J., …, Gavaghan, D.J. and Lei, C.L.^# (2023). “Importance of modelling hERG binding in predicting drug-induced action potentials for drug safety assessment.” Frontiers in Pharmacology, 14:1110555. https://doi.org/10.3389/fphar.2023.1110555
5. Tam, B., Qin, Z., Zhao, B, Wang, S.M. and Lei, C.L.^# (2023). “Integration of deep learning with Ramachandran plot molecular dynamics simulation for genetic variant classification.” iScience, 106122. https://doi.org/10.1016/j.isci.2023.106122
6. Lambert, B., Lei, C.L., Robinson, M., et al. (2023). “Autocorrelated measurement processes and inference for ordinary differential equation models of biological systems.” J. R. Soc. Interface, 20: 20220725. https://doi.org/10.1098/rsif.2022.0725
7. Clark, A.P., Clerx, M., Wei, S., Lei, C.L., et al. (2023). “Leak current, even with gigaohm seals, can cause misinterpretation of stem cell-derived cardiomyocyte action potential recordings.” EP Europace. (accepted; preprint: https://doi.org/10.1101/2022.10.13.511949)
8. Creswell, R., …, Lei, C.L. and Lambert, B. (2023). “A Bayesian nonparametric method for detecting rapid changes in disease transmission.” Journal of Theoretical Biology, 558, 111351. https://doi.org/10.1016/j.jtbi.2022.111351
9. Lei, I.M., Sheng, Y., Lei, C.L. et al. (2022). “A hackable, multi-functional, and modular extrusion 3D printer for soft materials.” Scientific Reports, 12, 12294. https://doi.org/10.1038/s41598-022-16008-6
10. van der Vegt, S.A., …, Lei, C.L., Gavaghan, D.J. and Lambert, B. (2022). “Learning transmission dynamics modelling of COVID-19 using comomodels.” Mathematical Biosciences, 349, 108824. https://doi.org/10.1016/j.mbs.2022.108824
11. Lei, C.L.^# and Mirams, G.R. (2021). “Neural Network Differential Equations For Ion Channel Modelling.” Frontiers in Physiology, 12:708944. https://doi.org/10.3389/fphys.2021.708944
12. Lei, C.L.^#, Fabbri, A., Whittaker D.G. et al. (2021). “A nonlinear and time-dependent leak current in the presence of calcium fluoride patch clamp seal enhancer [version 2; peer review: 4 approved].” Wellcome Open Research, 5:152. https://doi.org/10.12688/wellcomeopenres.15968.2
13. Lei, I.M., Chen, J., Lei, C.L. et al. (2021). “3D printed biomimetic cochleae and machine learning co-modelling provides clinical informatics for cochlear implant patients.” Nature Communications, 12, 6260. https://doi.org/10.1038/s41467-021-26491-6
14. Meng, Y., …, Lei, C.L., Liu, W., Ge, W., Lu, L. and Chen, G. (2021). “Nicotinamide promotes cardiomyocyte derivation and survival through kinase inhibition in human pluripotent stem cells.” Cell Death & Disease, 12, 1119. https://doi.org/10.1038/s41419-021-04395-z
15. Lei, C.L., Ghosh, S., Whittaker, D.G., et al. (2020). “Considering discrepancy when calibrating a mechanistic electrophysiology model.” Phil. Trans. R. Soc. A., 378: 20190349. https://doi.org/10.1098/rsta.2019.0349
16. Lei, C.L.^#, Clerx, M., Whittaker, D.G., et al. (2020). “Accounting for variability in ion current recordings using a mathematical model of artefacts in voltage-clamp experiments.” Phil. Trans. R. Soc. A., 378: 20190348. https://doi.org/10.1098/rsta.2019.0348
17. Clayton, R.H., Aboelkassem, T., Cantwell, C.D., Corrado, C., Delhaas, T., Huberts, W., Lei, C.L., et al. (2020). “An audit of uncertainty in multi-scale cardiac electrophysiology models.” Phil. Trans. R. Soc. A., 378: 20190335. https://doi.org/10.1098/rsta.2019.0335
18. Whittaker, D.G., Clerx, M., Lei, C.L., et al. (2020). “Calibration of ionic and cellular cardiac electrophysiology” WIREs Syst. Biol. Med., e1482. https://doi.org/10.1002/wsbm.1482
19. Lei, C.L., Clerx, M., Beattie, K.A., et al. (2019). “Rapid Characterization of hERG Channel Kinetics II: Temperature Dependence.” Biophysical Journal, 117, 12, p.2455-2470. https://doi.org/10.1016/j.bpj.2019.07.030
20. Lei, C.L., Clerx, M., Gavaghan, D.J., et al. (2019). “Rapid Characterization of hERG Channel Kinetics I: Using an Automated High-Throughput System.” Biophysical Journal, 117, 12, p.2438-2454. https://doi.org/10.1016/j.bpj.2019.07.029
21. Clerx, M., Robinson, M., Lambert, B., Lei, C.L., et al. (2019). “Probabilistic Inference on Noisy Time Series (PINTS).” Journal of Open Research Software, 7(1), p.23. https://doi.org/10.5334/jors.252
22. Lei, C.L., Kellard, J., Hara, M., Johnson, J., Rodriguez, B. and Briant, L. (2018). “Beta-cell hubs maintain Ca²⁺ oscillations in human and mouse islet simulations.” Islets, 10(4): 151-167. https://doi.org/10.1080/19382014.2018.1493316
23. Lei, C.L., Wang, K., Clerx, M., Johnstone, R.H., et al. (2017). “Tailoring Mathematical Models to Stem-Cell Derived Cardiomyocyte Lines Can Improve Predictions of Drug-Induced Changes to Their Electrophysiology.” Frontiers in Physiology, 8, 986. https://doi.org/10.3389/fphys.2017.00986

Conference proceedings

1. Camporesi, M., Bartolucci, C., Lei, C.L., et al. (2020). “Development, Implementation and Testing of a Multicellular Dynamic Action Potential Clamp Simulator for Drug Cardiac Safety Assessment.” Computing in Cardiology 2020, Vol. 47. https://doi.org/10.22489/CinC.2020.416

^* Co-first authors; ^# Corresponding author.