Lessons learned from quantitative dynamical modeling in systems biology A Raue, M Schilling, J Bachmann, A Matteson, M Schelke, D Kaschek, ... PloS one 8 (9), e74335, 2013 | 391 | 2013 |
Estimation of immune cell content in tumour tissue using single-cell RNA-seq data M Schelker, S Feau, J Du, N Ranu, E Klipp, G MacBeath, B Schoeberl, ... Nature communications 2032 (8), 2017 | 252 | 2017 |
Data2Dynamics: a modeling environment tailored to parameter estimation in dynamical systems A Raue, B Steiert, M Schelker, C Kreutz, T Maiwald, H Hass, J Vanlier, ... Bioinformatics 31 (21), 3558-3560, 2015 | 252 | 2015 |
New types of experimental data shape the use of enzyme kinetics for dynamic network modeling K Tummler, T Lubitz, M Schelker, E Klipp The FEBS journal 281 (2), 549-571, 2014 | 60 | 2014 |
Identification of cell type-specific differences in erythropoietin receptor signaling in primary erythroid and lung cancer cells R Merkle, B Steiert, F Salopiata, S Depner, A Raue, N Iwamoto, ... PLoS computational biology 12 (8), e1005049, 2016 | 41 | 2016 |
Comprehensive estimation of input signals and dynamics in biochemical reaction networks M Schelker, A Raue, J Timmer, C Kreutz Bioinformatics 28 (18), i529-i534, 2012 | 37 | 2012 |
Viral RNA degradation and diffusion act as a bottleneck for the influenza A virus infection efficiency M Schelker, CM Mair, F Jolmes, RW Welke, E Klipp, A Herrmann, ... PLoS computational biology 12 (10), e1005075, 2016 | 31 | 2016 |