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1.
Molbay, M. ; Kolabas, Z.I. ; Todorov, M.I. ; Ohn, T.-L. & Ertürk, A.: A guidebook for DISCO tissue clearing. Mol. Syst. Biol. 17:e9807 (2021)
2.
Türei, D.* et al.: Integrated intra- and intercellular signaling knowledge for multicellular omics analysis. Mol. Syst. Biol. 17:e9923 (2021)
3.
Fischer, D.S. ; Wu, Y. ; Schubert, B. & Theis, F.J.: Predicting antigen specificity of single T cells based on TCR CDR3 regions. Mol. Syst. Biol. 16:e9416 (2020)
4.
Eraslan, B.* et al.: Quantification and discovery of sequence determinants of protein-per-mRNA amount in 29 human tissues. Mol. Syst. Biol. 15:e8513 (2019)
5.
Luecken, M. & Theis, F.J.: Current best practices in single-cell RNA-seq analysis: A tutorial. Mol. Syst. Biol. 15:e8746 (2019)
6.
Niu, L.* et al.: Plasma proteome profiling discovers novel proteins associated with non-alcoholic fatty liver disease. Mol. Syst. Biol. 15:e8793 (2019)
7.
Argelaguet, R.* et al.: Multi-Omics Factor Analysis-a framework for unsupervised integration of multi-omics data sets. Mol. Syst. Biol. 14:e8124 (2018)
8.
Griffiths, J.A.* ; Scialdone, A. & Marioni, J.C.*: Using single-cell genomics to understand developmental processes and cell fate decisions. Mol. Syst. Biol. 14:e8046 (2018)
9.
Schiller, H. B.* et al.: Time- and compartment-resolved proteome profiling of the extracellular niche in lung injury and repair. Mol. Syst. Biol. 11:819 (2015)
10.
Iskar, M.* et al.: Characterization of drug-induced transcriptional modules: Towards drug repositioning and functional understanding. Mol. Syst. Biol. 9:662 (2013)
11.
Kuhn, M.* et al.: Systematic identification of proteins that elicit drug side effects. Mol. Syst. Biol. 9:663 (2013)
12.
Wang-Sattler, R. et al.: Novel biomarkers for pre-diabetes identified by metabolomics. Mol. Syst. Biol. 8:615 (2012)
13.
Kiel, C.* et al.: Structural and functional protein network analyses predict novel signaling functions for rhodopsin. Mol. Syst. Biol. 7:551 (2011)