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221.
Altmaier, E. et al.: Metabolomic profiles in individuals with negative affectivity and social inhibition: A population-based study of Type D personality. Psychoneuroendocrinology 38, 1299-1309 (2013)
222.
Andres, C.* et al.: Wound-healing growth factor, basic FGF, induces Erk1/2-dependent mechanical hyperalgesia. Pain 154, 2216-2226 (2013)
223.
Bardehle, S. et al.: Live imaging of astrocyte responses to acute injury reveals selective juxtavascular proliferation. Nat. Neurosci. 16, 580-586 (2013)
224.
Bartel, J. ; Krumsiek, J. & Theis, F.J.: Statistical methods for the analysis of high-throughput metabolomics data. Comp. Struc. Biotech. J. 4:e201301009 (2013)
225.
Bartel, S. et al.: SEC14L3 is de-regulated in murine experimental asthma via miRNA-mediated down-regulation of CREB. Allergy 68, 233-233 (2013)
226.
Bartel, S. et al.: miRNA-based identification of SEC14L3 deregulation in murine experimental asthma. Eur. Respir. J. 42 (2013)
227.
Buggenthin, F. et al.: An automatic method for robust and fast cell detection in bright field images from high-throughput microscopy. BMC Bioinformatics 14:297 (2013)
228.
Hock, S. et al.: Sharpening of expression domains induced by transcription and microRNA regulation within a spatio-temporal model of mid-hindbrain boundary formation. BMC Syst. Biol. 7:48 (2013)
229.
Hock, S. ; Hasenauer, J. & Theis, F.J.: Modeling of 2D diffusion processes based on microscopy data: Parameter estimation and practical identifiability analysis. BMC Bioinformatics 14:S7 (2013)
230.
Hug, S. et al.: High-dimensional Bayesian parameter estimation: Case study for a model of JAK2/STAT5 signaling. Math. Biosci. 246, 293-304 (2013)
231.
Kazeroonian, A. ; Hasenauer, J. & Theis, F.J.: Parameter estimation for stochastic biochemical processes: A comparison of moment equation and fintie state projection. In: Autio, R.* ; Shmulevich, I.* ; Strimmer, K.* ; Wiuf, C.* ; Sarbu, S.* ; Yli-Harja, O.* [Eds.]: Proceedings of the WCSB 2013 (10th International Workshop on Computational Systems Biology, 10 - 12 June 2013, Tampere, Finland). Tampere: Tampere International Center for Signal Processing, 2013. 66-73 (TICSP Series ; 63)
232.
Kong, B.* et al.: Identification and characterization of an Aldh1a3-positive subtype of pancreatic ductal adenocarcinoma mediated by oncogenic Krasg12d/Erk-Mtor axis. Pancreas 42, 1360-1361 (2013)
233.
Kong, B.* et al.: Pancreatic progenitor expansion, mesenchymal cell proliferation and inflammation are required during early carcinogenesis. Pancreas 42, 1360 (2013)
234.
Köttgen, A.* et al.: Genome-wide association analyses identify 18 new loci associated with serum urate concentrations. Nat. Genet. 45, 145-154 (2013)
235.
Kuruoglu, E.E.* & Theis, F.J.: Dependent component analysis. EURASIP J. Adv. Signal Process. 2013:185 (2013)
236.
Moignard, V.* et al.: Characterization of transcriptional networks in blood stem and progenitor cells using high-throughput single-cell gene expression analysis. Nat. Cell Biol. 15, 363-372 (2013)
237.
Raue, A.* ; Kreutz, C.* ; Theis, F.J. & Timmer, J.*: Joining forces of Bayesian and frequentist methodology: A study for inference in the presence of non-identiability. Philos. Trans. R. Soc. A - Math. Phys. Eng. Sci. 371:20110544 (2013)
238.
Raue, A. et al.: Lessons learned from quantitative dynamical modeling in systems biology. PLoS ONE 8:e74335 (2013)
239.
Rickert, D. ; Fricker, N. ; Lavrik, I.N.* & Theis, F.J.: Systematic complexity reduction of signaling models and application to a CD95 signaling model for apoptosis. In: Lavrik, I.N.* [Eds.]: Systems Biology of Apoptosis. New York: Springer, 2013. 57-84
240.
Ried, J.S. et al.: Integrative genetic and metabolite profiling analysis suggests altered phosphatidylcholine metabolism in asthma. Allergy 68, 629-636 (2013)