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Behzadi, S.* ; Müller, N.S. ; Plant, C.* & Böhm, C.*: Clustering of mixed-type data considering concept hierarchies. In: (23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2019, 14-17 April 2019, Macau; China). 2019. 555-573 (Lecture Notes Comp. Sci. ; 11439 LNAI)
Czamara, D.* et al.: Integrated analysis of environmental and genetic influences on cord blood DNA methylation in new-borns. Nat. Commun. 10:2548 (2019)
Eraslan, G. ; Simon, L. ; Mircea, M. ; Müller, N.S. & Theis, F.J.: Single-cell RNA-seq denoising using a deep count autoencoder. Nat. Commun. 10:390 (2019)
Garzorz-Stark, N.* et al.: Toll-like receptor 7/8 agonists stimulate plasmacytoid dendritic cells to initiate T(H)17-deviated acute contact dermatitis in human subjects. J. Allergy Clin. Immunol. 141, 1320-1333.e11 (2018)
Gonzalez-Vallinas, M.* et al.: Epigenetically regulated chromosome 14q32 miRNA cluster induces metastasis and predicts poor prognosis in lung adenocarcinoma patients. Mol. Cancer Res. 16, 390-402 (2018)
Krause, L. et al.: Mathematical concepts and their challenges in predicting severity of atopic eczema patients. Allergy 73, 731-731 (2018)
Lauffer, F.* et al.: Type I immune response induces keratinocyte necroptosis and is associated with interface dermatitis. J. Invest. Dermatol., accepted (2018)
Müller, N.S. et al.: Information theoretic concepts to unravel cell–cell communication. In: Lecture Notes in Bioengineering. 2018. 115-136
Pitea, A. et al.: Copy number aberrations from Affymetrix SNP 6.0 genotyping data-how accurate are commonly used prediction approaches? Brief. Bioinform., accepted (2018)
Aichler, M. et al.: N-acyl taurines and acylcarnitines cause an imbalance in insulin synthesis and secretion provoking β cell dysfunction in type 2 diabetes. Cell Metab. 25, 1334-1347.e4 (2017)
Arloth, J.* ; Binder, E.* & Müller, N.S.: An integrative disease-relevant multi-omics analysis to predict risk for stress-related psychiatric disorders. Eur. Neuropsychopharmacol. 27, S163-S163 (2017)
Budde, M.* et al.: Integrating polygenic allele burden information and phenomic data to characterize complex disease trajectories in severe mental illness. Eur. Neuropsychopharmacol. 27, 3, S406 (2017)
Comes, A.* et al.: Polygenic burden analysis of longitudinal clusters of quality of life and functioning in patients with severe mental illness. Eur. Neuropsychopharmacol. 27, 3, S408-S409 (2017)
Dirmeier, S.* ; Fuchs, C. ; Müller, N.S. & Theis, F.J.: netReg: Network-regularized linear models for biological association studies. Bioinformatics 34, 896-898 (2017)
Garzorz-Stark, N. et al.: The imiquimod model as a model for psoriasis and/or eczema in humans? Exp. Dermatol. 26, E68-E68 (2017)
Heilbronner, U.* et al.: The Role of micrornas in the course of servere mental disorders. Eur. Neuropsychopharmacol. 27, 3, S456-S457 (2017)
Kreimer, A.* et al.: Predicting gene expression in massively parallel reporter assays: A comparative study. Hum. Mutat. 38, 1240-1250 (2017)
Krendl, C. et al.: GATA2/3-TFAP2A/C transcription factor network couples human pluripotent stem cell differentiation to trophectoderm with repression of pluripotency. Proc. Natl. Acad. Sci. U.S.A. 114, E9579-E9588 (2017)
Kuepper, M.K.* et al.: Characterization of multiple B cell subsets in peripheral blood and skin biopsies of psoriasis patients identifies a correlation of plasma and regulatory B cells and disease severity. Exp. Dermatol. 26, E69-E70 (2017)
Schulte, E.* et al.: Polygenic burden analysis of longitudinal clusters of psychopathological features in a cross-diagnostic group of individuals with severe mental illness. Eur. Neuropsychopharmacol. 27, 3, S401-S402 (2017)