PuSH - Publikationsserver des Helmholtz Zentrums München

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1.
Ballnus, B. et al.: Comprehensive benchmarking of Markov chain Monte Carlo methods for dynamical systems. BMC Syst. Biol. 11:63 (2017)
2.
Fiedler, A. ; Raeth, S.* ; Theis, F.J. ; Hausser, A.* & Hasenauer, J.: Tailored parameter optimization methods for ordinary differential equation models with steady-state constraints. BMC Syst. Biol. 10:80 (2016)
3.
Kavšček, M.* ; Bhutada, G.* ; Madl, T. & Natter, K.*: Optimization of lipid production with a genome-scale model of Yarrowia lipolytica. BMC Syst. Biol. 9:72 (2015)
4.
Strasser, M. ; Feigelman, J. ; Theis, F.J. & Marr, C.: Inference of spatiotemporal effects on cellular state transitions from time-lapse microscopy. BMC Syst. Biol. 9:61 (2015)
5.
Goebels, F.* & Frishman, D.: Prediction of protein interaction types based on sequence and network features. BMC Syst. Biol. 7:S5 (2013)
6.
Hock, S. et al.: Sharpening of expression domains induced by transcription and microRNA regulation within a spatio-temporal model of mid-hindbrain boundary formation. BMC Syst. Biol. 7:48 (2013)
7.
Kreutz, C.* ; Raue, A. & Timmer, J.*: Likelihood based observability analysis and confidence intervals for predictions of dynamic models. BMC Syst. Biol. 6:120 (2012)
8.
Schmidl, D. ; Hug, S. ; Li, W.B. ; Greiter, M. & Theis, F.J.: Bayesian model selection validates a biokinetic model for zirconium processing in humans. BMC Syst. Biol. 6:95 (2012)
9.
Krumsiek, J. ; Suhre, K. ; Illig, T. ; Adamski, J. & Theis, F.J.: Gaussian graphical modeling reconstructs pathway reactions from high-throughput metabolomics data. BMC Syst. Biol. 5:21 (2011)
10.
Sass, S. et al.: MicroRNAs coordinately regulate protein complexes. BMC Syst. Biol. 5:136 (2011)
11.
Radrich, K. et al.: Integration of metabolic databases for the reconstruction of genome-scale metabolic networks. BMC Syst. Biol. 4:114 (2010)
12.
Trümbach, D. et al.: Deducing corticotropin-releasing hormone receptor type 1 signaling networks from gene expression data by usage of genetic algorithms and graphical Gaussian models. BMC Syst. Biol. 4:159 (2010)
13.
Wittmann, D.M. et al.: Transforming Boolean models to continuous models: Methodology and application to T-cell receptor signaling. BMC Syst. Biol. 3, 98:98 (2009)
14.
Marr, C. ; Geertz, M.* ; Hütt, M.-T.* & Muskhelisvili, G.*: Dissecting the logical types of network control in gene expression profiles. BMC Syst. Biol. 2:18 (2008)