Helge Hass
Title
Cited by
Cited by
Year
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
1592015
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
452016
Benchmark problems for dynamic modeling of intracellular processes
H Hass, C Loos, ER Alvarez, J Timmer, J Hasenauer, C Kreutz
BioRxiv, 404590, 2018
352018
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
252016
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), 1-15, 2017
232017
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
222017
Fast integration-based prediction bands for ordinary differential equation models
H Hass, C Kreutz, J Timmer, D Kaschek
Bioinformatics 32 (8), 1204-1210, 2016
122016
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
42017
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
22020
Extensions of ℓ 1 regularization increase detection specificity for cell-type specific parameters in dynamic models
P Dolejsch, H Hass, J Timmer
BMC bioinformatics 20 (1), 1-13, 2019
12019
Quantifying cell biology: Mechanistic dynamic modeling of receptor crosstalk
H Haß
Albert-Ludwigs-Universität Freiburg im Breisgau, 2017
12017
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
Predicting Tumor Growth and Ligand Dependence from mRNA by Combining Machine Learning with Mechanistic Modeling
H Hass, A Raue
Humana Press, 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
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Articles 1–14