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Paul Stapor
Paul Stapor
Institute of Computational Biology, Helmholtz Center, Munich
Verified email at stapor.de - Homepage
Title
Cited by
Cited by
Year
PESTO: parameter estimation toolbox
P Stapor, D Weindl, B Ballnus, S Hug, C Loos, A Fiedler, S Krause, ...
Bioinformatics 34 (4), 705-707, 2018
982018
PEtab—Interoperable specification of parameter estimation problems in systems biology
L Schmiester, Y Schälte, FT Bergmann, T Camba, E Dudkin, J Egert, ...
PLOS Computational Biology 17 (1), e1008646, 2021
632021
AMICI: High-performance sensitivity analysis for large ordinary differential equation models
F Fröhlich, D Weindl, Y Schälte, D Pathirana, Ł Paszkowski, GT Lines, ...
Bioinformatics 37 (20), 3676-3677, 2021
442021
Benchmarking of numerical integration methods for ODE models of biological systems
P Städter, Y Schälte, L Schmiester, J Hasenauer, PL Stapor
Scientific reports 11 (1), 1-11, 2021
432021
Optimization and profile calculation of ODE models using second order adjoint sensitivity analysis
P Stapor, F Fröhlich, J Hasenauer
Bioinformatics 34 (13), i151-i159, 2018
39*2018
Challenges in the calibration of large-scale ordinary differential equation models
EM Kapfer, P Stapor, J Hasenauer
IFAC-PapersOnLine 52 (26), 58-64, 2019
172019
Convergence of the Gutt Star Product
SW Chiara Esposito, Paul Stapor
Journal of Lie theory 27, 2017
17*2017
Evaluation of Derivative-Free Optimizers for Parameter Estimation in Systems Biology
Y Schälte, P Stapor, J Hasenauer
IFAC-PapersOnLine 51 (19), 98-101, 2018
152018
Cell-to-cell variability in JAK2/STAT5 pathway components and cytoplasmic volumes defines survival threshold in erythroid progenitor cells
L Adlung, P Stapor, C Tönsing, L Schmiester, LE Schwarzmüller, ...
Cell Reports 36 (6), 109507, 2021
132021
Mini-batch optimization enables training of ODE models on large-scale datasets
P Stapor, L Schmiester, C Wierling, S Merkt, D Pathirana, BMH Lange, ...
Nature Communications 13 (1), 1-17, 2022
122022
The interplay of viral loads, clinical presentation, and serological responses in SARS-CoV-2–Results from a prospective cohort of outpatient COVID-19 cases
K Puchinger, N Castelletti, R Rubio-Acero, C Geldmacher, TM Eser, ...
Virology 569, 37-43, 2022
112022
pyPESTO: A modular and scalable tool for parameter estimation for dynamic models
Y Schälte, F Fröhlich, PJ Jost, J Vanhoefer, D Pathirana, P Stapor, ...
arXiv preprint arXiv:2305.01821, 2023
42023
Integrative modelling of reported case numbers and seroprevalence reveals time-dependent test efficiency and infection rates
L Contento, N Castelletti, E Raimúndez, R Le Gleut, Y Schälte, P Stapor, ...
medRxiv, 2021
4*2021
Efficient computation of steady states in large-scale ODE models of biochemical reaction networks
GT Lines, Ł Paszkowski, L Schmiester, D Weindl, P Stapor, J Hasenauer
IFAC-PapersOnLine 52 (26), 32-37, 2019
42019
Dirac mixture distributions for the approximation of mixed effects models
D Wang, P Stapor, J Hasenauer
IFAC-PapersOnLine 52 (26), 200-206, 2019
42019
Efficient computation of adjoint sensitivities at steady-state in ODE models of biochemical reaction networks
P Lakrisenko, P Stapor, S Grein, Ł Paszkowski, D Pathirana, F Fröhlich, ...
bioRxiv, 2022
22022
A more expressive spline representation for SBML models improves code generation performance in AMICI
L Contento, P Stapor, D Weindl, J Hasenauer
bioRxiv, 2023.06. 29.547120, 2023
2023
Efficient computational methods for parameter estimation of ordinary differential equation and mixed-effect models in systems biology
P Stapor
Technische Universität München, 2021
2021
Convergence of the Gutt Star Product: A strict Deformation Quantization
P Stapor
arXiv preprint arXiv:1604.05873, 2016
2016
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Articles 1–19