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21.
Sobotta, S.* et al.: Model based targeting of IL-6-induced inflammatory responses in cultured primary hepatocytes to improve application of the JAK inhibitor ruxolitinib. Front. Physiol. 8:775 (2017)
22.
Garzorz-Stark, N.* et al.: A novel molecular disease classifier for psoriasis and eczema. Exp. Dermatol. 25, 767-774 (2016)
23.
González-Valllinas, M.* et al.: Abstract 1945: Identification of a miRNA/mRNA network driving non-small cell lung cancer (NSCLC) dissemination. Cancer Res. 76 (2016)
24.
Kong, B.* et al.: Dynamic landscape of pancreatic carcinogenesis reveals early molecular networks of malignancy. Gut 67, 146-156 (2016)
25.
Krause, L. et al.: A computational model to predict severity of atopic eczema from 30 serum proteins. J. Allergy Clin. Immunol. 138, 1207-1210.e2 (2016)
26.
Krause, L. ; Müller, N.S. & Eyerich, S.: Reply. J. Allergy Clin. Immunol. 139, 1065-1066 (2016)
27.
Kuepper, M.K.* et al.: Characterization of multiple B cell subsets in peripheral blood of psoriasis patients identifies a correlation of regulatory B cells and disease severity. J. Invest. Dermatol. 136, S217-S217 (2016)
28.
Preusse, M. ; Theis, F.J. & Müller, N.S.: miTALOS v2: Analyzing tissue specific microRNA function. PLoS ONE 11:e0151771 (2016)
29.
Stojcheva, N.* et al.: MicroRNA-138 promotes acquired alkylator resistance in glioblastoma by targeting the Bcl-2-interacting mediator BIM. Oncotarget 7, 12937-12950 (2016)
30.
Thomas, J. et al.: Characterization of multiple B cell subsets in peripheral blood of psoriasis patients identifies a correlation of plasma and regulatory B cells with disease severity. Exp. Dermatol. 25, 27-28 (2016)
31.
Willmann, S. et al.: The global gene expression profile of the secondary transition during pancreatic development. Mech. Dev. 139, 51-64 (2016)
32.
Kovac, M.* et al.: Exome sequencing of osteosarcoma reveals mutation signatures reminiscent of BRCA deficiency. Nat. Commun. 6:8940 (2015)
33.
Meyer, S.U.* et al.: Integrative analysis of MicroRNA and mRNA data reveals an orchestrated function of MicroRNAs in skeletal myocyte differentiation in response to TNF-α or IGF1. PLoS ONE 10:e0135284 (2015)
34.
Ocone, A. ; Haghverdi, L. ; Müller, N.S. & Theis, F.J.: Reconstructing gene regulatory dynamics from high-dimensional single-cell snapshot data. Bioinformatics 31, i89-i96 (2015)
35.
Sass, S. ; Buettner, F. ; Müller, N.S. & Theis, F.J.: RAMONA: A web application for gene set analysis on multilevel omics data. Bioinformatics 31, 128-130 (2015)
36.
Sass, S. et al.: MicroRNA-target network inference and local network enrichment analysis identify two microRNA clusters with distinct functions in head and neck squamous cell carcinoma. Int. J. Mol. Sci. 16, 30204-30222 (2015)
37.
Sass, S. ; Buettner, F. ; Müller, N.S. & Theis, F.J.: A modular framework for gene set analysis integrating multilevel omics data. Nucleic Acids Res. 41, 9622-9633 (2013)
38.
Müller, N.S.* ; Krumsiek, J. ; Theis, F.J. ; Böhm, C.* & Meyer-Bäse, A.*: Gaussian graphical modeling reveals specific lipid correlations in glioblastoma cells. Proc. SPIE 8058:805819 (2011)
39.
Theis, F.J. ; Müller, N.S.* ; Plant, C.* & Böhm, C.*: Robust second-order source separation identifies experimental responses in biomedical imaging. In: Vigneron, V.* [Eds.]: Proceedings (Latent variable analysis and signal separation : 9th international conference, 27-30 September 2010, St. Malo, France). Heidelberg: Springer, 2010. 466-473 (LNCS; 6365)
40.
Binder, E.B.* et al.: Polymorphisms in FKBP5 are associated with increased recurrence of depressive episodes and rapid response to antidepressant treatment. Nat. Genet. 36, 1319-1325 (2004)