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 | 71 | 2021 |
Prevalence and Risk Factors of Infection in the Representative COVID-19 Cohort Munich M Pritsch, K Radon, A Bakuli, R Le Gleut, L Olbrich, ... | 66 | 2021 |
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 | 51 | 2021 |
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), 2696, 2021 | 47 | 2021 |
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 |
From first to second wave: follow-up of the prospective COVID-19 cohort (KoCo19) in Munich (Germany) K Radon, A Bakuli, P Pütz, R Le Gleut, JM Guggenbuehl Noller, L Olbrich, ... BMC infectious diseases 21, 1-15, 2021 | 34 | 2021 |
Head-to-head evaluation of seven different seroassays including direct viral neutralisation in a representative cohort for SARS-CoV-2 L Olbrich, N Castelletti, Y Schälte, M Garí, P Pütz, A Bakuli, M Pritsch, ... Journal of General Virology 102 (10), 001653, 2021 | 24 | 2021 |
pyPESTO: a modular and scalable tool for parameter estimation for dynamic models Y Schälte, F Fröhlich, PJ Jost, J Vanhoefer, D Pathirana, P Stapor, ... Bioinformatics 39 (11), btad711, 2023 | 20* | 2023 |
Efficient exact inference for dynamical systems with noisy measurements using sequential approximate Bayesian computation Y Schälte, J Hasenauer Bioinformatics 36 (Supplement_1), i551–i559, 2020 | 20 | 2020 |
pyABC: Efficient and robust easy-to-use approximate Bayesian computation Y Schälte, E Klinger, E Alamoudi, J Hasenauer arXiv preprint arXiv:2203.13043, 2022 | 17 | 2022 |
Evaluation of derivative-free optimizers for parameter estimation in systems biology Y Schälte, P Stapor, J Hasenauer IFAC-PapersOnLine 51 (19), 98-101, 2018 | 16 | 2018 |
Bayesflow: Amortized bayesian workflows with neural networks ST Radev, M Schmitt, L Schumacher, L Elsemüller, V Pratz, Y Schälte, ... arXiv preprint arXiv:2306.16015, 2023 | 15 | 2023 |
Inferring the effect of interventions on COVID-19 transmission networks S Syga, D David-Rus, Y Schälte, H Hatzikirou, A Deutsch Scientific reports 11 (1), 21913, 2021 | 11 | 2021 |
HCV spread kinetics reveal varying contributions of transmission modes to infection dynamics K Durso-Cain, P Kumberger, Y Schälte, T Fink, H Dahari, J Hasenauer, ... Viruses 13 (7), 1308, 2021 | 10 | 2021 |
A Serology Strategy for Epidemiological Studies Based on the Comparison of the Performance of Seven Different Test Systems-The Representative COVID-19 Cohort Munich L Olbrich, N Castelletti, Y Schälte, M Garí, P Pütz, A Bakuli, M Pritsch, ... medRxiv, 2021.01. 13.21249735, 2021 | 8 | 2021 |
Robust adaptive distance functions for approximate Bayesian inference on outlier-corrupted data Y Schälte, E Alamoudi, J Hasenauer bioRxiv, 2021.07. 29.454327, 2021 | 7 | 2021 |
Integrative modelling of reported case numbers and seroprevalence reveals time-dependent test efficiency and infectious contacts L Contento, N Castelletti, E Raimúndez, R Le Gleut, Y Schälte, P Stapor, ... Epidemics 43, 100681, 2023 | 6 | 2023 |
yaml2sbml: Human-readable and-writable specification of ODE models and their conversion to SBML J Vanhoefer, R Marta, D Pathirana, Y Schälte, J Hasenauer Journal of Open Source Software 6 (61), 3215, 2021 | 5 | 2021 |
The representative COVID-19 cohort Munich (KoCo19): from the beginning of the pandemic to the Delta virus variant R Le Gleut, M Plank, P Pütz, K Radon, A Bakuli, R Rubio-Acero, ... BMC Infectious Diseases 23 (1), 466, 2023 | 4 | 2023 |
FitMultiCell: simulating and parameterizing computational models of multi-scale and multi-cellular processes E Alamoudi, Y Schälte, R Müller, J Starruß, N Bundgaard, F Graw, ... Bioinformatics 39 (11), btad674, 2023 | 3 | 2023 |