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21.
Blazquez-Navarro, A.* et al.: Differential T cell response against BK virus regulatory and structural antigens: A viral dynamics modelling approach. PLoS Comput. Biol. 14:e1005998 (2018)
22.
Fröhlich, F. ; Kaltenbacher, B.* ; Theis, F.J. & Hasenauer, J.: Scalable parameter estimation for genome-scale biochemical reaction networks. PLoS Comput. Biol. 13:e1005331 (2017)
23.
Lepik, K.* et al.: C-reactive protein upregulates the whole blood expression of CD59 - an integrative analysis. PLoS Comput. Biol. 13:e1005766 (2017)
24.
Rueedi, R.* et al.: Metabomatching: Using genetic association to identify metabolites in proton NMR spectroscopy. PLoS Comput. Biol. 13, e1005839:e1005839 (2017)
25.
Fröhlich, F. et al.: Inference for stochastic chemical kinetics using moment equations and system size expansion. PLoS Comput. Biol. 12:e1005030 (2016)
26.
Jagiella, N. ; Müller, B.* ; Müller, M.* ; Vignon-Clementel, I.E.* & Drasdo, D.*: Inferring growth control mechanisms in growing multi-cellular spheroids of NSCLC cells from spatial-temporal image data. PLoS Comput. Biol. 12:e1004412 (2016)
27.
Lechner, M.* ; Schwarz, M. ; Opitz, M.* & Frey, E.*: Hierarchical post-transcriptional regulation of colicin E2 expression in Escherichia coli. PLoS Comput. Biol. 12:e1005243 (2016)
28.
Prinz, J. ; Vogt, I. ; Adornetto, G. & Campillos, M.J.: A novel drug-mouse phenotypic similarity method detects molecular determinants of drug effects. PLoS Comput. Biol. 12, DOI: 10.1371/journal.pcbi.1005111 (2016)
29.
Hoffmann, T.* ; Krackhardt, A.M. & Antes, I.*: Quantitative analysis of the association angle between T-cell receptor Vα/Vβ domains reveals important features for epitope recognition. PLoS Comput. Biol. 11:e1004244 (2015)
30.
Hasenauer, J. ; Hasenauer, C.* ; Hucho, T.* & Theis, F.J.: ODE constrained mixture modelling: A method for unraveling subpopulation structures and dynamics. PLoS Comput. Biol. 10:e1003686 (2014)
31.
Tiedemann, H.B. et al.: Fast synchronization of ultradian oscillators controlled by Delta-Notch signaling with Cis-inhibition. PLoS Comput. Biol. 10:e1003843 (2014)
32.
Poos, K.* et al.: How microRNA and transcription factor co-regulatory networks affect osteosarcoma cell proliferation. PLoS Comput. Biol. 9:e1003210 (2013)
33.
Tyanova, S.* ; Cox, J.* ; Olsen, J.* ; Mann, M.* & Frishman, D.: Phosphorylation variation during the cell cycle scales with structural propensities of proteins. PLoS Comput. Biol. 9:e1002842 (2013)
34.
Tiedemann, H.B. et al.: From dynamic expression patterns to boundary formation in the presomitic mesoderm. PLoS Comput. Biol. 8:e1002586 (2012)
35.
Kowarsch, A. ; Fuchs, A.* ; Frishman, D. & Pagel, P.: Correlated mutations: A hallmark of phenotypic amino acid substitutions. PLoS Comput. Biol. 6:e1000923 (2010)
36.
Marr, C. ; Theis, F.J. ; Liebovitch, L.S.* & Hütt, M.-T.*: Patterns of subnet usage reveal distinct scales of regulation in the transcriptional regulatory network of Escherichia coli. PLoS Comput. Biol. 6, 31:e1000836 (2010)
37.
Klamt, S.* ; Haus, U.-U.* & Theis, F.J.: Hypergraphs and cellular networks. PLoS Comput. Biol. 5:e1000385 (2009)
38.
Wittmann, D.M. et al.: Spatial analysis of expression patterns predicts genetic interactions at the mid-hindbrain boundary. PLoS Comput. Biol. 5:e1000569 (2009)
39.
Tetko, I.V. et al.: Spatiotemporal expression control correlates with intragenic scaffold matrix attachment regions (S/MARs) in Arabidopsis thaliana. PLoS Comput. Biol. 2, 136-145:e21 (2006)
40.
Wong, P. & Frishman, D.: Fold designability, distribution and disease. PLoS Comput. Biol. 2, 392-402:e40 (2006)
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