Paul Stapor
Paul Stapor
Institute of Computational Biology, Helmholtz Center, Munich
Bestätigte E-Mail-Adresse bei helmholtz-muenchen.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
PESTO: parameter estimation toolbox
P Stapor, D Weindl, B Ballnus, S Hug, C Loos, A Fiedler, S Krause, ...
Bioinformatics 34 (4), 705-707, 2018
522018
Convergence of the Gutt Star Product
C Esposito, P Stapor, S Waldmann
arXiv preprint arXiv:1509.09160, 2015
142015
Evaluation of Derivative-Free Optimizers for Parameter Estimation in Systems Biology
Y Schälte, P Stapor, J Hasenauer
IFAC-PapersOnLine 51 (19), 98-101, 2018
102018
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
8*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
42019
PEtab--interoperable specification of parameter estimation problems in systems biology
L Schmiester, Y Schälte, FT Bergmann, T Camba, E Dudkin, J Egert, ...
arXiv preprint arXiv:2004.01154, 2020
32020
Cell-to-cell variability in JAK2/STAT5 pathway components and cytoplasmic volumes define survival threshold in erythroid progenitor cells
L Adlung, P Stapor, C Tönsing, L Schmiester, LE Schwarzmüller, D Wang, ...
BioRxiv, 866871, 2019
12019
Benchmarking of numerical integration methods for ODE models of biological systems
P Städter, Y Schälte, L Schmiester, J Hasenauer, P Stapor
bioRxiv, 2020
2020
Supplementary information to mini-batch optimization enables training of ODE models on large-scale datasets
P Stapor, L Schmiester, C Wierling, BMH Lange, D Weindl, J Hasenauer
2019
Mini-batch optimization enables training of ODE models on large-scale datasets
P Stapor, L Schmiester, C Wierling, BMH Lange, D Weindl, J Hasenauer
BioRxiv, 859884, 2019
2019
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
2019
Dirac mixture distributions for the approximation of mixed effects models
D Wang, P Stapor, J Hasenauer
IFAC-PapersOnLine 52 (26), 200-206, 2019
2019
Convergence of the Gutt Star Product: A strict Deformation Quantization
P Stapor
arXiv preprint arXiv:1604.05873, 2016
2016
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