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1.
Hass, H.* et al.: Benchmark problems for dynamic modeling of intracellular processes. Bioinformatics, accepted (2019)
2.
Sobotta, S.* et al.: Model based targeting of IL-6-induced inflammatory responses in cultured primary hepatocytes to improve application of the JAK inhibitor ruxolitinib. Front. Physiol. 8:775 (2017)
3.
Goldmann, T.* et al.: USP18 lack in microglia causes destructive interferonopathy of the mouse brain. EMBO J. 34, 1612-1629 (2015)
4.
Raue, A.* et al.: Data2Dynamics: A modeling environment tailored to parameter estimation in dynamical systems. Bioinformatics 31, 3558-3560 (2015)
5.
Hug, S. et al.: High-dimensional Bayesian parameter estimation: Case study for a model of JAK2/STAT5 signaling. Math. Biosci. 246, 293-304 (2013)
6.
Kreutz, C.* ; Raue, A. ; Kaschek, D.* & Timmer, J.*: Profile likelihood in systems biology. FEBS J. 280, 2564-2571 (2013)
7.
Raue, A.* ; Kreutz, C.* ; Theis, F.J. & Timmer, J.*: Joining forces of Bayesian and frequentist methodology: A study for inference in the presence of non-identiability. Philos. Trans. R. Soc. A - Math. Phys. Eng. Sci. 371:20110544 (2013)
8.
Raue, A. et al.: Lessons learned from quantitative dynamical modeling in systems biology. PLoS ONE 8:e74335 (2013)
9.
Vehlow, C.* et al.: iVUN: Interactive Visualization of Uncertain biochemical reaction Networks. BMC Bioinformatics 14:S2 (2013)
10.
Kreutz, C.* ; Raue, A. & Timmer, J.*: Likelihood based observability analysis and confidence intervals for predictions of dynamic models. BMC Syst. Biol. 6:120 (2012)
11.
Raia, V.* et al.: Dynamic mathematical modeling of IL13-induced signaling in Hodgkin and primary mediastinal B-Cell lymphoma allows prediction of therapeutic targets. Cancer Res. 71, 693-704 (2011)
12.
Wiech, T.* et al.: Genome-wide analysis of genetic alterations in Barrett's adenocarcinoma using single nucleotide polymorphism arrays. Lab. Invest. 89, 385-397 (2009)