| 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 7 (6), 567-579. e6, 2018 | 143 | 2018 |
| COVID19 Disease Map, a computational knowledge repository of virus–host interaction mechanisms M Ostaszewski, A Niarakis, A Mazein, I Kuperstein, R Phair, ... Molecular systems biology 17 (10), e10387, 2021 | 85 | 2021 |
| 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 |
| 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 |
| Direct Image Reconstruction of Lissajous-Type Magnetic Particle Imaging Data Using Chebyshev-Based Matrix Compression L Schmiester, M Möddel, W Erb, T Knopp IEEE Transactions on Computational Imaging 3 (4), 671-681, 2017 | 25 | 2017 |
| 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 |
| 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), 2021 | 16 | 2021 |
| 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), 34, 2022 | 15 | 2022 |
| Parameterization of mechanistic models from qualitative data using an efficient optimal scaling approach L Schmiester, D Weindl, J Hasenauer Journal of Mathematical Biology, 1-21, 2020 | 15 | 2020 |
| Efficient gradient-based parameter estimation for dynamic models using qualitative data L Schmiester, D Weindl, J Hasenauer Bioinformatics 37 (23), 4493-4500, 2021 | 13 | 2021 |
| Phenotypic deconvolution in heterogeneous cancer cell populations using drug-screening data A Köhn-Luque, EM Myklebust, DS Tadele, M Giliberto, L Schmiester, ... Cell Reports Methods 3 (3), 2023 | 6 | 2023 |
| Efficient Parameter Estimation Enables the Prediction of Drug Response Using a Mechanistic Pan-Cancer Pathway Model. Cell Syst. 2018; 7 (6): 567–79 e6 F Frohlich, T Kessler, D Weindl, A Shadrin, L Schmiester, H Hache | 5 | |
| 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 | 4 | 2019 |
| Efficient Parameter Estimation Enables the Prediction of Drug Response Using a Mechanistic Pan-Cancer Pathway Model. Cell Syst. 7, 567-579. e6 F Fröhlich, T Kessler, D Weindl, A Shadrin, L Schmiester, H Hache, ... | 3 | 2018 |
| Computational model predicts patient outcomes in Luminal B breast cancer treated with endocrine therapy and CDK4/6 inhibition L Schmiester, F Brasó-Maristany, B González-Farré, T Pascual, J Gavilá, ... Clinical Cancer Research, 2024 | | 2024 |
| Abstract PO4-14-09: A computational model of the mechanisms of action of combined endocrine therapy and CDK4/6 inhibition predicts outcome in patients with Luminal B breast cancer L Schmiester, F Brasó-Maristany, V Kristensen, A Frigessi, A Prat, ... Cancer Research 84 (9_Supplement), PO4-14-09-PO4-14-09, 2024 | | 2024 |
| Abstract PO4-02-01: Characterization of immune and malignant cell evolution upon treatment pressure with aromatase inhibitors in locally advanced estrogen positive breast cancer L Schmiester, S Ghannoum, M Fongård, M Bjørnstad, K Selsås, S Geisler, ... Cancer Research 84 (9_Supplement), PO4-02-01-PO4-02-01, 2024 | | 2024 |
| Abstract PO3-23-08: Cancer and immune cells evolutionary trajectories under treatment with the aromatase inhibitor letrozole and the CDK4/6 inhibitor ribociclib M Fongård, L Schmiester, S Ghannoum, M Bjørnstad, T Bosnjak, ... Cancer Research 84 (9_Supplement), PO3-23-08-PO3-23-08, 2024 | | 2024 |
| Abstract LB394: Tumor evolution upon treatment pressure with aromatase inhibitors in locally advanced estrogen receptor positive breast cancer VN Kristensen, GI Alnaes, P Vernhoff, L Schmiester, S Ghannoum, ... Cancer Research 84 (7_Supplement), LB394-LB394, 2024 | | 2024 |
Jan HasenauerUniversität Bonn在 uni-bonn.de 的电子邮件经过验证
