| Moment-based inference predicts bimodality in transient gene expression C Zechner, J Ruess, P Krenn, S Pelet, M Peter, J Lygeros, H Koeppl Proceedings of the National Academy of Sciences 109 (21), 8340-8345, 2012 | 218 | 2012 |
| Inferring causal molecular networks: empirical assessment through a community-based effort SM Hill, LM Heiser, T Cokelaer, M Unger, NK Nesser, DE Carlin, Y Zhang, ... Nature methods 13 (4), 310-318, 2016 | 174 | 2016 |
| Scalable inference of heterogeneous reaction kinetics from pooled single-cell recordings C Zechner, M Unger, S Pelet, M Peter, H Koeppl Nature methods 11 (2), 197-202, 2014 | 118 | 2014 |
| Strengths and limitations of microarray-based phenotype prediction: lessons learned from the IMPROVER Diagnostic Signature Challenge AL Tarca, M Lauria, M Unger, E Bilal, S Boue, K Kumar Dey, J Hoeng, ... Bioinformatics 29 (22), 2892-2899, 2013 | 108 | 2013 |
| ‘Glocal’robustness analysis and model discrimination for circadian oscillators M Hafner, H Koeppl, M Hasler, A Wagner PLoS Comput Biol 5 (10), e1000534, 2009 | 90 | 2009 |
| Verification of systems biology research in the age of collaborative competition P Meyer, LG Alexopoulos, T Bonk, A Califano, CR Cho, A De La Fuente, ... Nature biotechnology 29 (9), 811-815, 2011 | 85 | 2011 |
| Digitally enhanced analog circuits: System aspects B Murmann, C Vogel, H Koeppl 2008 IEEE International Symposium on Circuits and Systems, 560-563, 2008 | 63 | 2008 |
| Lumpability abstractions of rule-based systems J Feret, T Henzinger, H Koeppl, T Petrov Theoretical Computer Science 431, 137-164, 2012 | 56 | 2012 |
| Effect of network architecture on synchronization and entrainment properties of the circadian oscillations in the suprachiasmatic nucleus M Hafner, H Koeppl, D Gonze PLoS Comput Biol 8 (3), e1002419, 2012 | 52 | 2012 |
| Spatial simulations in systems biology: from molecules to cells M Klann, H Koeppl International journal of molecular sciences 13 (6), 7798-7827, 2012 | 51 | 2012 |
| Jump-diffusion approximation of stochastic reaction dynamics: error bounds and algorithms A Ganguly, D Altintan, H Koeppl Multiscale Modeling & Simulation 13 (4), 1390-1419, 2015 | 45 | 2015 |
| Design and analysis of biomolecular circuits: engineering approaches to systems and synthetic biology H Koeppl, D Densmore, G Setti, M di Bernardo Springer Science & Business Media, 2011 | 43 | 2011 |
| Spatial modeling of vesicle transport and the cytoskeleton: the challenge of hitting the right road M Klann, H Koeppl, M Reuss PLoS One 7 (1), e29645, 2012 | 42 | 2012 |
| Hybrid spatial Gillespie and particle tracking simulation M Klann, A Ganguly, H Koeppl Bioinformatics 28 (18), i549-i555, 2012 | 41 | 2012 |
| An adaptive cellular nonlinear network and its application H Koeppl, LO Chua IEICE Proceedings Series 41 (17PM1-B-1), 2007 | 40 | 2007 |
| An efficient scheme for nonlinear modeling and predistortion in mixed-signal systems H Koeppl, P Singerl IEEE Transactions on Circuits and Systems II: Express Briefs 53 (12), 1368-1372, 2006 | 40 | 2006 |
| Stochastic fragments: A framework for the exact reduction of the stochastic semantics of rule-based models J Feret, H Koeppl, T Petrov International Journal of Software and Informatics 7 (ARTICLE), 527-604, 2013 | 39 | 2013 |
| A cellular system for spatial signal decoding in chemical gradients B Hegemann, M Unger, SS Lee, I Stoffel-Studer, J van den Heuvel, ... Developmental cell 35 (4), 458-470, 2015 | 36 | 2015 |
| Dynamical properties of discrete reaction networks L Paulevé, G Craciun, H Koeppl Journal of mathematical biology 69 (1), 55-72, 2014 | 34 | 2014 |
| Accounting for extrinsic variability in the estimation of stochastic rate constants H Koeppl, C Zechner, A Ganguly, S Pelet, M Peter International Journal of Robust and Nonlinear Control 22 (10), 1103-1119, 2012 | 34 | 2012 |
Christoph ZechnerMax Planck Institute of Molecular Cell Biology and GeneticsVerified email at mpi-cbg.de
