Hasenauer, Jan

Efficient Parameter Estimation Enables the Prediction of Drug Response Using a Mechanistic Pan-Cancer Pathway Model

Fröhlich, F., Kessler, T., Weindl, D., Shadrin, A., Schmiester, L., Hache, H., Muradyan, A., Schütte, M., Lim, J.-H., Heinig, M., et al. (2018) · Cell Systems

Gene Regulatory Network AnalysisBioinformatics and Genomic Networks

Cited by 143

PEtab—Interoperable specification of parameter estimation problems in systems biology

Schmiester, L., Schälte, Y., Bergmann, F. T., Camba, T., Dudkin, E., Egert, J., Fröhlich, F., Fuhrmann, L., Hauber, A. L., Kemmer, S., et al. (2021) · PLOS Computational Biology

Gene Regulatory Network AnalysisScientific Computing and Data Management

Cited by 96

Increasing Neural Stem Cell Division Asymmetry and Quiescence Are Predicted to Contribute to the Age-Related Decline in Neurogenesis

Bast, L., Calzolari, F., Strasser, M. K., Hasenauer, J., Theis, F. J., Ninkovic, J., & Marr, C. (2018) · Cell Reports

Neurogenesis and neuroplasticity mechanismsDevelopmental Biology and Gene Regulation

Cited by 50

Cell-to-cell variability in JAK2/STAT5 pathway components and cytoplasmic volumes define survival threshold in erythroid progenitor cells

Adlung, L., Stapor, P., Tönsing, C., Schmiester, L., Schwarzmüller, L. E., Wang, D., Timmer, J., Klingmüller, U., Hasenauer, J., & Schilling, M. (2019) · Cell Reports

Cytokine Signaling Pathways and InteractionsGene Regulatory Network Analysis

Cited by 21

iVUN: interactive Visualization of Uncertain biochemical reaction Networks

Vehlow, C., Hasenauer, J., Kramer, A., Raue, A., Hug, S., Timmer, J., Radde, N., Theis, F. J., & Weiskopf, D. (2013) · BMC Bioinformatics

Data Visualization and AnalyticsGene Regulatory Network Analysis

Cited by 11