| Data2Dynamics: a modeling environment tailored to parameter estimation in dynamical systems A Raue, B Steiert, M Schelker, C Kreutz, T Maiwald, H Hass, J Vanlier, ... Bioinformatics 31 (21), 3558-3560, 2015 | 256 | 2015 |
| Driving the model to its limit: profile likelihood based model reduction T Maiwald, H Hass, B Steiert, J Vanlier, R Engesser, A Raue, F Kipkeew, ... PloS one 11 (9), e0162366, 2016 | 97 | 2016 |
| Benchmark problems for dynamic modeling of intracellular processes H Hass, C Loos, ER Alvarez, J Timmer, J Hasenauer, C Kreutz BioRxiv, 404590, 2018 | 72 | 2018 |
| Predicting ligand-dependent tumors from multi-dimensional signaling features H Hass, K Masson, S Wohlgemuth, V Paragas, JE Allen, M Sevecka, ... NPJ systems biology and applications 3 (1), 27, 2017 | 44 | 2017 |
| Identification of cell type-specific differences in erythropoietin receptor signaling in primary erythroid and lung cancer cells R Merkle, B Steiert, F Salopiata, S Depner, A Raue, N Iwamoto, ... PLoS computational biology 12 (8), e1005049, 2016 | 41 | 2016 |
| Quantification of oxygen metabolic rates in Human brain with dynamic 17O MRI: Profile likelihood analysis D Kurzhunov, R Borowiak, H Hass, P Wagner, AJ Krafft, J Timmer, M Bock Magnetic Resonance in Medicine 78 (3), 1157-1167, 2017 | 36 | 2017 |
| Fast integration-based prediction bands for ordinary differential equation models H Hass, C Kreutz, J Timmer, D Kaschek Bioinformatics 32 (8), 1204-1210, 2016 | 25 | 2016 |
| Extensions of ℓ1 regularization increase detection specificity for cell-type specific parameters in dynamic models P Dolejsch, H Hass, J Timmer BMC bioinformatics 20, 1-13, 2019 | 12 | 2019 |
| Pluripotency factors determine gene expression repertoire at zygotic genome activation M Gao, M Veil, M Rosenblatt, AJ Riesle, A Gebhard, H Hass, L Buryanova, ... Nature Communications 13 (1), 788, 2022 | 10 | 2022 |
| Mathematical model of early Reelin-induced Src family kinase-mediated signaling H Hass, F Kipkeew, A Gauhar, E Bouché, P May, J Timmer, HH Bock PLoS One 12 (10), e0186927, 2017 | 10 | 2017 |
| Pou5f3 and Sox19b select gene expression repertoire at Zygotic Genome Activation M Gao, M Veil, M Rosenblatt, A Gebhard, H Hass, L Buryanova, ... BioRxiv, 2020.02. 16.949362, 2020 | 7 | 2020 |
| Activator-blocker model of transcriptional regulation by pioneer-like factors AJ Riesle, M Gao, M Rosenblatt, J Hermes, H Hass, A Gebhard, M Veil, ... Nature Communications 14 (1), 5677, 2023 | 6 | 2023 |
| Activator-blocker model of transcriptional regulation by pioneer-like factors D Onichtchouk, A Riesle, M Gao, M Rosenblatt, J Hermes, H Hass, ... | 1 | 2023 |
| Activator-blocker model of transcriptional regulation by pioneer-like factors J Hermes, H Hass, A Gebhard, M Veil, B Grüning, J Timmer, ... Nature Communications 14, 5677, 2023 | 1 | 2023 |
| Quantifying cell biology: Mechanistic dynamic modeling of receptor crosstalk H Haß Albert-Ludwigs-Universität Freiburg im Breisgau, 2017 | 1 | 2017 |
| Predicting Tumor Growth and Ligand Dependence from mRNA by Combining Machine Learning with Mechanistic Modeling H Hass, A Raue | | 2019 |
| Predicting ligand-dependent tumors from multi-dimensional signaling features. H Hass, K Masson, S Wohlgemuth, V Paragas, JE Allen, M Sevecka, ... Cancer Research 78 (13), 2018 | | 2018 |
| Search for the Standard Model Higgs boson in the H→ ττ→ lνlντ hντ decay mode in proton-proton collisions at H Haß | | 2013 |
