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Physical Review. E|May 17, 2017
Causal influence in linear Langevin networks without feedbackAndrea Auconi, Andrea Giansanti, Edda KlippPlos One|March 9, 2010
A quantitative study of the Hog1 MAPK response to fluctuating osmotic stress in Saccharomyces cerevisiaeZhike Zi, Wolfram Liebermeister, Edda KlippBMC Bioinformatics|February 1, 2012
Propagating semantic information in biochemical network modelsMarvin Schulz, Edda Klipp, Wolfram LiebermeisterJournal of Biotechnology|July 16, 2013
A variable fork rate affects timing of origin firing and S phase dynamics in Saccharomyces cerevisiaeAdriana Supady, Edda Klipp, Matteo BarberisHeliyon|February 16, 2023
A dynamical stochastic model of yeast translation across the cell cycleMartin Seeger, Max Flöttmann, Edda KlippGenome Informatics. International Conference on Genome Informatics|May 9, 2009
Exploring the effect of variable enzyme concentrations in a kinetic model of yeast glycolysisJózsef Bruck, Wolfram Liebermeister, Edda KlippFrontiers in Physiology|August 31, 2012
Cell-to-Cell Communication Circuits: Quantitative Analysis of Synthetic Logic GatesMarta Hoffman-Sommer, Adriana Supady, Edda KlippCurrent Genomics|November 2, 2010
Replication origins and timing of temporal replication in budding yeast: how to solve the conundrum?Matteo Barberis, Thomas W Spiesser, Edda KlippMethods in Molecular Biology (Clifton, N.J.)|December 26, 2016
Using Confocal Microscopy and Computational Modeling to Investigate the Cell-Penetrating Properties of Antimicrobial PeptidesGabriel Del Rio, Edda Klipp, Andreas HerrmannEuropean Journal of Biochemistry|November 9, 2002
Prediction of temporal gene expression. Metabolic opimization by re-distribution of enzyme activitiesEdda Klipp, Reinhart Heinrich, Hermann-Georg HolzhütterPageof 17