PuSH - Publikationsserver des Helmholtz Zentrums München

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1.
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)
2.
Wittmann, D.M. ; Hock, S. & Theis, F.J.: Truth-content and phase transitions of random boolean networks with generic logics. SIAM J. Appl. Dyn. Syst. 12, 315-351 (2013)
3.
Blöchl, F. ; Wittmann, D.M. & Theis, F.J.: Effective parameters determining the information flow in hierarchical biological systems. Bull. Math. Biol. 73, 706-725 (2011)
4.
Breindl, C.* ; Waldherr, S.* ; Wittmann, D.M. ; Theis, F.J. & Allgoewer, F.*: Steady-state robustness of qualitative gene regulation networks. Int. J. Robust Nonlin. 21, 1742-1758 (2011)
5.
Krumsiek, J. ; Wittmann, D.M. & Theis, F.J.: From discrete to continuous gene regulation models - a tutorial using the odefy toolbox. Applications of MATLAB in Science and Engineering. Rijeka: InTech, 2011. 35-60
6.
Wittmann, D.M. & Theis, F.J.: Dynamic regimes of random fuzzy logic networks. New J. Phys. 13:013041 (2011)
7.
Wittmann, D.M.: Beyond boolean modeling in systems biology. München, Technische Universität, Fakultät für Mathematik, Diss., 2011, 187 S.
8.
Ansorg, M. ; Blöchl, F. ; zu Castell, W. ; Theis, F.J. & Wittmann, D.M.: Gene regulation at the Mid-Hindbrain Boundary: Study of a mathematical model in the stationary limit. Int. J. Biomath. Biostat. 1, 9-21 (2010)
9.
Krumsiek, J. ; Pölsterl, S. ; Wittmann, D.M. & Theis, F.J.: Odefy - from discrete to continuous models. BMC Bioinformatics 11, 1-10:233 (2010)
10.
Wittmann, D.M. ; Marr, C. & Theis, F.J.: Biologically meaningful update rules increase the critical connectivity of generalized Kauffman networks. J. Theor. Biol. 266, 436-448 (2010)
11.
Wittmann, D.M. et al.: Spatial analysis of expression patterns predicts genetic interactions at the mid-hindbrain boundary. PLoS Comput. Biol. 5:e1000569 (2009)
12.
Wittmann, D.M. ; Schmidl, D. ; Blöchl, F. & Theis, F.J.: Reconstruction of graphs based on random walks. Theor. Comput. Sci. 410, 3826-3838 (2009)
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)