Chappell, Michael J.

Differential algebra methods for the study of the structural identifiability of rational function state-space models in the biosciences

Margaria, G., Riccomagno, E., Chappell, M. J., & Wynn, H. P. (2001) · Mathematical Biosciences

Control Systems and IdentificationPolynomial and algebraic computation

Cited by 102

Identifiability of uncontrolled nonlinear rational systems

Evans, N. D., Chapman, M. J., Chappell, M. J., & Godfrey, K. R. (2002) · Automatica

Control Systems and IdentificationControl and Stability of Dynamical Systems

Cited by 75

Best Practices to Maximize the Use and Reuse of Quantitative and Systems Pharmacology Models: Recommendations From the United Kingdom Quantitative and Systems Pharmacology Network

Cucurull‐Sanchez, L., Chappell, M. J., Chelliah, V., Amy Cheung, S. Y., Derks, G., Penney, M., Phipps, A., Malik‐Sheriff, R. S., Timmis, J., Tindall, M. J., et al. (2019) · CPT: Pharmacometrics & Systems Pharmacology

Computational Drug Discovery MethodsStatistical Methods in Clinical Trials

Cited by 61

Parameter Identifiability of Fundamental Pharmacodynamic Models

Janzén, D. L. I., Bergenholm, L., Jirstrand, M., Parkinson, J., Yates, J., Evans, N. D., & Chappell, M. J. (2016) · Frontiers in Physiology

Control Systems and IdentificationStatistical Methods in Clinical Trials

Cited by 44

Structural identifiability analysis via symmetries of differential equations

Yates, J. W. T., Evans, N. D., & Chappell, M. J. (2009) · Automatica

Control Systems and IdentificationStatistical and numerical algorithms

Cited by 37

Structural identifiability for a class of non-linear compartmental systems using linear/non-linear splitting and symbolic computation

Chapman, M. J., Godfrey, K. R., Chappell, M. J., & Evans, N. D. (2003) · Mathematical Biosciences

Control Systems and IdentificationMathematical and Computational Methods

Cited by 36

Structural identifiability of surface binding reactions involving heterogeneous analyte: Application to surface plasmon resonance experiments

Evans, N. D., Moyse, H. A. J., Lowe, D., Briggs, D., Higgins, R., Mitchell, D., Zehnder, D., & Chappell, M. J. (2013) · Automatica

Control Systems and IdentificationGene Regulatory Network Analysis

Cited by 24

The structural identifiability and parameter estimation of a multispecies model for the transmission of mastitis in dairy cows

White, L. J., Evans, N. D., Lam, T. J. G. M., Schukken, Y. H., Medley, G. F., Godfrey, K. R., & Chappell, M. J. (2001) · Mathematical Biosciences

Milk Quality and Mastitis in Dairy CowsMathematical and Theoretical Epidemiology and Ecology Models

Cited by 21

Three novel approaches to structural identifiability analysis in mixed-effects models

Janzén, D. L. I., Jirstrand, M., Chappell, M. J., & Evans, N. D. (2019) · Computer Methods and Programs in Biomedicine

Control Systems and IdentificationStatistical and numerical algorithms

Cited by 21

A digital shadow of CAR T cell expansion in a perfusion bioreactor: Informing optimal harvest times for autologous cell therapy

Egan, J. R., Marí‐Buyé, N., Benítez‐Cano, E. V., Costa, M., Wanika, L., Chappell, M. J., Schultz, U., Ochs, J., Effenberger, M., Horna, D., et al. (2025) · Biotechnology Progress

CAR-T cell therapy researchControl Systems and Identification

Cited by 10