Publications
Susanne Gerber and Illia Horenko: Improving clustering by imposing network information. accepted for publication in Science Advances (2015)
Susanne Gerber and Illia Horenko: On inference of causality for discrete state models in multiscale context. PNAS 111 (41) 14651-14656, doi:10.1073/pnas.1410404111, (2014)
Dagmar Hosiner, Susanne Gerber, Hella Lichtenberg-Fraté, Walter Glaser, Christoph Schüller, and Edda Klipp: Impact of acute metal stress in Saccharomyces cerevisiae, PLoS ONE 9(1): e83330. doi:10.1371/journal.pone.0083330 (2014)
Susanne Gerber: Computational investigation of cation induced stress in yeast: Strategies for understanding the complex system of cation homeostasis in the yeast Saccharomyces cerevisia, Book, Südwestdeutscher Verlag für Hochschulschriften, ISBN-10: 3838130774, ISBN-13: 978-3838130774 (März 2012)
Susanne Gerber: In silico modeling of cation homeostasis in Saccaromyces cerevisiae,
PhD thesis, Humboldt University of Berlin, Theoretical Biophysics Group, (2011)
Szymon Stoma, Martina Fröhlich, Susanne Gerber and Edda Klipp.
STSE: Spatio-Temporal Simulation Environment Dedicated to Biology,
BMC Bioinformatics 12:126, 2011.
Susanne Gerber, Guide Hasenbrink, Wouter Hendriksen, Paul van Heusden, Jost Ludwig, Edda Klipp, and Hella Lichtenberg-Frate,
Graphical analysis and experimental evaluation of Saccharomyces cerevisiae PTRK_1|2 and P_BMH_1|2 promoter region,
Genome Informatics 21, 2009.
Susanne Gerber, Heike Aßmus, Barbara Bakker, and Edda Klipp.
Drug-efficacy depends on the inhibitor type and the target position in a metabolic network - a systematic study,
J. Theor. Biol. 252(3): 442-455. , 2008.
Susanne Gerber: Modeling and simulation of blood perfusion in human cancer tumors during hyperthermia treatment
Master's thesis, Konrad Zuse Institut, Numerische Analysis und Modellierung, Free University of Berlin, (2007)
Susanne Gerber: Theoretische Untersuchung zur Wirkung von Inhibitoren in Abhängigkeit von ihrem Angriffsort im metabolischen Netzwerk und ihrem Typ,
Bachelor thesis, Kinetic Modelling Group, Max Planck Institute for Molecular Genetics Berlin, Free University of Berlin (2004)
