PuSH - Publikationsserver des Helmholtz Zentrums München

11 Datensätze gefunden.
Zum Exportieren der Ergebnisse bitte einloggen.
Alle Publikationen dieser Seite in den Korb legen
1.
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)
2.
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)
3.
Luecken, M. & Theis, F.J.: Current best practices in single-cell RNA-seq analysis: A tutorial. Mol. Syst. Biol. 15:e8746 (2019)
4.
Niu, L.* et al.: Plasma proteome profiling discovers novel proteins associated with non-alcoholic fatty liver disease. Mol. Syst. Biol. 15:e8793 (2019)
5.
Argelaguet, R.* et al.: Multi-Omics Factor Analysis-a framework for unsupervised integration of multi-omics data sets. Mol. Syst. Biol. 14:e8124 (2018)
6.
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)
7.
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)
8.
Iskar, M.* et al.: Characterization of drug-induced transcriptional modules: Towards drug repositioning and functional understanding. Mol. Syst. Biol. 9:662 (2013)
9.
Kuhn, M.* et al.: Systematic identification of proteins that elicit drug side effects. Mol. Syst. Biol. 9:663 (2013)
10.
Wang-Sattler, R. et al.: Novel biomarkers for pre-diabetes identified by metabolomics. Mol. Syst. Biol. 8:615 (2012)
11.
Kiel, C.* et al.: Structural and functional protein network analyses predict novel signaling functions for rhodopsin. Mol. Syst. Biol. 7:551 (2011)