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141.
Theis, F.J.: Das ist der Zyklus der Systembiologie. Laborjournal 23, 22-25 (2016)
142.
Theis, F.J.: Zelle unter Beobachtung: "Mit der Software können wir die Entwicklung im Video studieren". MEDICA Magazin, DOI: undefined (2016)
143.
Theis, F.J.: Big Data for small cells -  neue Software zur Beobachtung einzelner Zellen. https://www.bsse.ethz.ch/csd/software/ttt-and-qtfy.html (2016)
144.
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)
145.
Willmann, S. et al.: The global gene expression profile of the secondary transition during pancreatic development. Mech. Dev. 139, 51-64 (2016)
146.
Zissler, U.M. et al.: Interleukin-4 and interferon-γ orchestrate an epithelial polarization in the airways. Mucosal Immunol. 9, 917-926 (2016)
147.
Barbosa, J.S. et al.: Live imaging of adult neural stem cell behavior in the intact and injured zebrafish brain. Science 348, 789-793 (2015)
148.
Bartel, J. et al.: The human blood metabolome-transcriptome interface. PLoS Genet. 11:e1005274 (2015)
149.
Bartel, S. et al.: SEC14-like 3 is decreased in airway ciliated cells in experimental and paediatric asthma. In:. 2015. 69-A24 (Pneumologe)
150.
Buettner, F. et al.: Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells. Nat. Biotechnol. 33, 155-160 (2015)
151.
Calzolari, F. et al.: Fast clonal expansion and limited neural stem cell self-renewal in the adult subependymal zone. Nat. Neurosci. 18, 490-492 (2015)
152.
Do, K.T. et al.: Network-based approach for analyzing intra- and interfluid metabolite associations in human blood, urine, and saliva. J. Proteome Res. 14, 1183-1194 (2015)
153.
Filipczyk, A. et al.: Network plasticity of pluripotency transcription factors in embryonic stem cells. Nat. Cell Biol. 17, 1235-1246 (2015)
154.
Garzorz, N.V.* et al.: Molecular diagnostics of psoriasis and eczema-a novel approach to establish personalised therapy. J. Invest. Dermatol. 135, S1 (2015)
155.
Haghverdi, L. ; Buettner, F. & Theis, F.J.: Diffusion maps for high-dimensional single-cell analysis of differentiation data. Bioinformatics 31, 2989-2998 (2015)
156.
Hasenauer, J. ; Jagiella, N. ; Hross, S. & Theis, F.J.: Data-driven modelling of biological multi-scale processes. J. Coupled Syst. Multiscale Dyn. 3, 101-121 (2015)
157.
Helmbrecht, M.S. et al.: A critical period for postnatal adaptive plasticity in a model of motor axon miswiring. PLoS ONE 10:e0123643 (2015)
158.
Hug, S. ; Schwarzfischer, M. ; Hasenauer, J. ; Marr, C. & Theis, F.J.: An adaptive scheduling scheme for calculating Bayes factors with thermodynamic integration using Simpson’s rule. Stat. Comp. 26, 663-677 (2015)
159.
Illner, K. et al.: Model selection using limiting distributions of second-order blind source separation algorithms. Signal Process. 113, 95-103 (2015)
160.
Ilmonen, P.* ; Nordhausen, K.* ; Oja, H.* & Theis, F.J.: An affine equivariant robust second-order BSS method. Lecture Notes Comp. Sci. 9237, 328-335 (2015)