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21.
Luecken, M. & Theis, F.J.: Current best practices in single-cell RNA-seq analysis: A tutorial. Mol. Syst. Biol. 15:e8746 (2019)
22.
Niu, L.* et al.: Plasma proteome profiling discovers novel proteins associated with non-alcoholic fatty liver disease. Mol. Syst. Biol. 15:e8793 (2019)
23.
Argelaguet, R.* et al.: Multi-Omics Factor Analysis-a framework for unsupervised integration of multi-omics data sets. Mol. Syst. Biol. 14:e8124 (2018)
24.
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)
25.
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)
26.
Iskar, M.* et al.: Characterization of drug-induced transcriptional modules: Towards drug repositioning and functional understanding. Mol. Syst. Biol. 9:662 (2013)
27.
Kuhn, M.* et al.: Systematic identification of proteins that elicit drug side effects. Mol. Syst. Biol. 9:663 (2013)
28.
Wang-Sattler, R. et al.: Novel biomarkers for pre-diabetes identified by metabolomics. Mol. Syst. Biol. 8:615 (2012)
29.
Kiel, C.* et al.: Structural and functional protein network analyses predict novel signaling functions for rhodopsin. Mol. Syst. Biol. 7:551 (2011)