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Hybrid Metabolic Network Completion.

C. Frioux, T. Schaub, S. Schellhorn, A. Siegel, and P. Wanko. LPNMR, volume 10377 of Lecture Notes in Computer Science, page 308-321. Springer, (2017)

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Christien Siegel University of Stuttgart

Anne Zerfass University of Stuttgart

Anne Beyer University of Stuttgart

Anne Preuschoff University of Stuttgart

Dr. -Ing. Anne Geppert University of Stuttgart

Other publications of authors with the same name

Two-dimensional iterated morphisms and discrete planes.P. Arnoux, V. Berthé, and A. Siegel. Theor. Comput. Sci., 319 (1-3): 145-176 (2004)Connectedness of fractals associated with Arnoux-Rauzy substitutions.V. Berthé, T. Jolivet, and A. Siegel. RAIRO - Theor. Inf. and Applic., 48 (3): 249-266 (2014)Exhaustively characterizing feasible logic models of a signaling network using Answer Set Programming.C. Guziolowski, S. Videla, F. Eduati, S. Thiele, T. Cokelaer, A. Siegel, and J. Saez-Rodriguez. Bioinformatics, 30 (13): 1942 (2014)Hybrid metabolic network completion.C. Frioux, T. Schaub, S. Schellhorn, A. Siegel, and P. Wanko. TPLP, 19 (1): 83-108 (2019)A Logic for Checking the Probabilistic Steady-State Properties of Reaction Networks.V. Picard, A. Siegel, and J. Bourdon. Journal of Computational Biology, 24 (8): 734-745 (2017)Decidability Problems for Self-induced Systems Generated by a Substitution.T. Jolivet, and A. Siegel. MCU, volume 9288 of Lecture Notes in Computer Science, page 3-16. Springer, (2015)Generating Discrete Planes with Substitutions.V. Berthé, J. Bourdon, T. Jolivet, and A. Siegel. WORDS, volume 8079 of Lecture Notes in Computer Science, page 58-70. Springer, (2013)Revisiting the Training of Logic Models of Protein Signaling Networks with ASP.S. Videla, C. Guziolowski, F. Eduati, S. Thiele, N. Grabe, J. Saez-Rodriguez, and A. Siegel. CMSB, volume 7605 of Lecture Notes in Computer Science, page 342-361. Springer, (2012)PAX2GRAPHML: a python library for large-scale regulation network analysis using BioPAX.F. Moreews, H. Simon, A. Siegel, F. Gondret, and E. Becker. Bioinform., 37 (24): 4889-4891 (2021)Boolean network identification from perturbation time series data combining dynamics abstraction and logic programming.M. Ostrowski, L. Paulevé, T. Schaub, A. Siegel, and C. Guziolowski. Biosystems, (2016)