PuSH - Publikationsserver des Helmholtz Zentrums München

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1.
Kazeroonian, A. ; Fröhlich, F. ; Raue, A.* ; Theis, F.J. & Hasenauer, J.: CERENA: ChEmical REaction Network Analyzer - a toolbox for the simulation and analysis of stochastic chemical kinetics. PLoS ONE 11:e0146732 (2016)
2.
Raue, A.* et al.: Data2Dynamics: A modeling environment tailored to parameter estimation in dynamical systems. Bioinformatics 31, 3558-3560 (2015)
3.
Hug, S. et al.: High-dimensional Bayesian parameter estimation: Case study for a model of JAK2/STAT5 signaling. Math. Biosci. 246, 293-304 (2013)
4.
Kreutz, C.* ; Raue, A. ; Kaschek, D.* & Timmer, J.*: Profile likelihood in systems biology. FEBS J. 280, 2564-2571 (2013)
5.
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)
6.
Raue, A. et al.: Lessons learned from quantitative dynamical modeling in systems biology. PLoS ONE 8:e74335 (2013)
7.
Raue, A.: Quantitative dynamic modeling : Theory and application to signal transduction in the erythropoietic system. Freiburg (Breisgau), Albert-Ludwigs-Universität, Diss., 2013, 118 S.
8.
Vehlow, C.* et al.: iVUN: Interactive Visualization of Uncertain biochemical reaction Networks. BMC Bioinformatics 14:S2 (2013)
9.
Kreutz, C.* ; Raue, A. & Timmer, J.*: Likelihood based observability analysis and confidence intervals for predictions of dynamic models. BMC Syst. Biol. 6:120 (2012)
10.
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)