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Tischler, J.* et al.: Metabolic regulation of pluripotency and germ cell fate through alpha-ketoglutarate. EMBO J. 38:e99518 (2019)
Tritschler, S. et al.: Concepts and limitations for learning developmental trajectories from single cell genomics. Development 146, accepted (2019)
Vieira Braga, F.A.* et al.: A cellular census of human lungs identifies novel cell states in health and in asthma. Nat. Med. 25, 1153-1163 (2019)
Wang, R.* et al.: CD23 is a biomarker of clinical response to IgE-specific immunoadsorption in patients with severe atopic eczema. Exp. Dermatol. 28, E29-E30 (2019)
Wolf, F.A. et al.: PAGA: Graph abstraction reconciles clustering with trajectory inference through a topology preserving map of single cells. Genome Biol. 20:59 (2019)
Apweiler, R.* et al.: Whither systems medicine? Exp. Mol. Med. 50:e453 (2018)
Backofen, R.* et al.: MicroRNA as an integral part of cell communication: Regularized target prediction and network prediction. In: Lecture Notes in Bioengineerin. 2018. 85-100
Ballnus, B. ; Schaper, S.* ; Theis, F.J. & Hasenauer, J.: Bayesian parameter estimation for biochemical reaction networks using region-based adaptive parallel tempering. Bioinformatics 34, 494-501 (2018)
Bast, L. et al.: Increasing neural stem cell division asymmetry and quiescence are predicted to contribute to the age-related decline in neurogenesis. Cell Rep. 25, 3231-3240.e8 (2018)
Benedetti, E. et al.: Erratum: Publisher Correction: Network inference from glycoproteomics data reveals new reactions in the IgG glycosylation pathway (Nature communications (2017) 8 1 (1483)). Nat. Commun. 9:706 (2018)
Colomé-Tatché, M. & Theis, F.J.: Statistical single cell multi-omics integration. Curr. Opin. Syst. Biol. 7, 54-59 (2018)
Dalke, C. et al.: Lifetime study in mice after acute low-dose ionizing radiation: A multifactorial study with special focus on cataract risk. Radiat. Environ. Biophys. 57, 99-113 (2018)
Do, K.T. et al.: Characterization of missing values in untargeted MS-based metabolomics data and evaluation of missing data handling strategies. Metabolomics 14:128 (2018)
Feigelman, J* ; Weindl, D. ; Theis, F.J. ; Marr, C. & Hasenauer, J.: LNA++: Linear noise approximation with first and second order sensitivities. In: Lecture Notes in Computer Science (16th International Conference on Computational Methods in Systems Biology, 12-14 September 2018, Brno; Czech Republic). 2018. 300-306 ( ; 11095 LNBI)
Fischer, D.S. ; Theis, F.J. & Yosef, N.*: Impulse model-based differential expression analysis of time course sequencing data. Nucleic Acids Res. 46:e119 (2018)
Foerster, K.* et al.: Diagnosis of bronchopulmonary dysplasia using magnetic resonance imaging analysis. Am. J. Respir. Crit. Care Med. 197 (2018)
Foerster, K.* et al.: Quantitative MRI measurements to detect pulmonary hypertension in bronchopulomnary dysplasia. Am. J. Respir. Crit. Care Med. 197 (2018)
Förster, K. et al.: Early identification of bronchopulmonary dysplasia using novel biomarkers by proteomic screening. Am. J. Respir. Crit. Care Med. 197, 1076-1080 (2018)
Fröhlich, F. et al.: Efficient parameter estimation enables the prediction of drug response using a mechanistic pan-cancer pathway model. Cell Syst. 7, 567-579 (2018)
Fröhlich, F. et al.: Multi-experiment nonlinear mixed effect modeling of single-cell translation kinetics after transfection. NPJ Syst. Biol. Appl. 5 (2018)