Scalable parameter estimation for genome-scale biochemical reaction networks F Fröhlich, B Kaltenbacher, FJ Theis, J Hasenauer PLoS computational biology 13 (1), e1005331, 2017 | 148 | 2017 |
Efficient Parameter Estimation Enables the Prediction of Drug Response Using a Mechanistic Pan-Cancer Pathway Model F Fröhlich, T Kessler, D Weindl, A Shadrin, L Schmiester, H Hache, ... Cell Systems, 2018 | 143 | 2018 |
Benchmarking optimization methods for parameter estimation in large kinetic models AF Villaverde, F Fröhlich, D Weindl, J Hasenauer, JR Banga Bioinformatics 35 (5), 830-838, 2019 | 140 | 2019 |
PESTO: Parameter EStimation TOolbox P Stapor, D Weindl, B Ballnus, S Hug, C Loos, A Fiedler, S Krause, ... Bioinformatics, 2017 | 105 | 2017 |
GenSSI 2.0: Multi-experiment structural identifiability analysis of SBML models TS Ligon, F Fröhlich, OT Chi, JR Banga, E Balsa-Canto, J Hasenauer Bioinformatics, 2017 | 102 | 2017 |
Receptor-Driven ERK Pulses Reconfigure MAPK Signaling and Enable Persistence of Drug-Adapted BRAF-Mutant Melanoma Cells L Gerosa, C Chidley, F Fröhlich, G Sanchez, SK Lim, J Muhlich, JY Chen, ... Cell Systems, 2020 | 94 | 2020 |
Inference for stochastic chemical kinetics using moment equations and system size expansion F Fröhlich, P Thomas, A Kazeroonian, FJ Theis, R Grima, J Hasenauer PLoS computational biology 12 (7), e1005030, 2016 | 82 | 2016 |
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 | 73 | 2021 |
Uncertainty Analysis for Non-identifiable Dynamical Systems: Profile Likelihoods, Bootstrapping and More F Fröhlich, FJ Theis, J Hasenauer Computational Methods in Systems Biology 8859, 61-72, 2014 | 66 | 2014 |
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 | 52 | 2021 |
CERENA: ChEmical REaction Network Analyzer—a toolbox for the simulation and analysis of stochastic chemical kinetics A Kazeroonian, F Fröhlich, A Raue, FJ Theis, J Hasenauer PloS one 11 (1), e0146732, 2016 | 52 | 2016 |
A protocol for dynamic model calibration AF Villaverde, D Pathirana, F Fröhlich, J Hasenauer, JR Banga Briefings in Bioinformatics 23 (1), bbab387, 2022 | 48 | 2022 |
Parameter estimation for dynamical systems with discrete events and logical operations F Fröhlich, FJ Theis, JO Rädler, J Hasenauer Bioinformatics 33 (7), 1049-1056, 2017 | 45 | 2017 |
Efficient parameterization of large-scale dynamic models based on relative measurements L Schmiester, Y Schälte, F Fröhlich, J Hasenauer, D Weindl Bioinformatics 36 (2), 594-602, 2020 | 42 | 2020 |
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 | 41* | 2018 |
A Hierarchical, Data-Driven Approach to Modeling Single-Cell Populations Predicts Latent Causes of Cell-To-Cell Variability C Loos, K Moeller, F Fröhlich, T Hucho, J Hasenauer Cell systems 6 (5), 593-603. e13, 2018 | 41 | 2018 |
Scalable inference of ordinary differential equation models of biochemical processes F Fröhlich, C Loos, J Hasenauer Gene Regulatory Networks: Methods and Protocols, 385-422, 2019 | 34 | 2019 |
Sparse control of force field dynamics M Bongini, M Fornasier, F Frcöhlich, L Haghverdi 2014 7th International Conference on NETwork Games, COntrol and OPtimization …, 2014 | 34* | 2014 |
Multi-experiment nonlinear mixed effect modeling of single-cell translation kinetics after transfection F Fröhlich, A Reiser, L Fink, D Woschée, T Ligon, FJ Theis, JO Rädler, ... NPJ systems biology and applications 4 (1), 42, 2018 | 24 | 2018 |
Fides: Reliable trust-region optimization for parameter estimation of ordinary differential equation models F Fröhlich, PK Sorger PLOS Computational Biology 18 (7), e1010322, 2022 | 22 | 2022 |