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Abstracting instead of copying: in search of the formula for success

N. Radde, D. Paul, and M. Bischoff. Biomimetics for architecture : learning from nature, Birkhäuser, Basel, (2019)
DOI: 10.1515/9783035617917-022

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Univ. -Prof. Dr. Nicole Radde University of Stuttgart

Nicole Frommer University of Stuttgart

Nicole Lampa University of Stuttgart

Nicole Golombek University of Stuttgart

Nicole Reed University of Stuttgart

Other publications of authors with the same name

mcmc_clib-an advanced MCMC sampling package for ode models.A. Kramer, V. Stathopoulos, M. Girolami, and N. Radde. Bioinformatics, 30 (20): 2991-2992 (2014)Inferring Gene Regulatory Networks from Expression Data.L. Kaderali, and N. Radde. Computational Intelligence in Bioinformatics, volume 94 of Studies in Computational Intelligence, Springer, (2008)The circuit-breaking algorithm for monotone systemsC. Thomaseth, K. Kuritz, F. Allgöwer, and N. Radde. Mathematical biosciences, (2017)Robustness and filtering properties of ubiquitous signaling network motifsD. Paul, and N. Radde. IFAC-PapersOnLine, 49 (26): 120-127 (2016)The impossible challenge of estimating non-existent moments of the Chemical Master EquationV. Wagner, and N. Radde. Bioinformatics, 39 (Supplement 1): I440-I447 (2023)Modeling and simulation of nitrogen regulation in Corynebacterium glutamicum.J. Gebert, N. Radde, U. Faigle, J. Strösser, and A. Burkovski. Discrete Applied Mathematics, 157 (10): 2232-2243 (2009)Whither systems medicine?R. Apweiler, T. Beissbarth, M. Berthold, N. Bluethgen, Y. Burmeister, O. Dammann, A. Deutsch, F. Feuerhake, A. Franke, J. Hasenauer and 22 other author(s). Experimental And Molecular Medicine, (2018)The role of stochastic sequestration dynamics for intrinsic noise filtering in signaling network motifsD. Paul, and N. Radde. Journal of theoretical biology, (2018)Editorial: Computational Modeling for Liver Surgery and InterventionsB. Christ, U. Dahmen, N. Radde, and T. Ricken. Frontiers in physiology, (2022)Uncertainty-aware visual analysis of biochemical reaction networks.C. Vehlow, J. Hasenauer, A. Kramer, J. Heinrich, N. Radde, F. Allgöwer, and D. Weiskopf. BioVis, page 91-98. IEEE Computer Society, (2012)