PuSH - Publication Server of Helmholtz Zentrum München

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261.
Konrad, M.* et al.: Social transfer of pathogenic fungus promotes active immunisation in ant colonies. PLoS Biol. 10:e1001300 (2012)
262.
Krug, S.* et al.: The dynamic range of the human metabolome revealed by challenges. FASEB J. 26, 2607-2619 (2012)
263.
Krumsiek, J. ; Suhre, K. ; Illig, T. ; Adamski, J. & Theis, F.J.: Bayesian independent component analysis recovers pathway signatures from blood metabolomics data. J. Proteome Res. 11, 4120-4131 (2012)
264.
Krumsiek, J. et al.: Mining the unknown: A systems approach to metabolite identification combining genetic and metabolic information. PLoS Genet. 8:e1003005 (2012)
265.
Krumsiek, J. ; Stückler, F. ; Kastenmüller, G. & Theis, F.J.: Systems biology meets metabolism. In: Suhre, K.* [Eds.]: Genetics Meets Metabolomics: from Experiment to Systems Biology. New York: Springer, 2012. 281-313
266.
Lutter, D. ; Bruns, P. & Theis, F.J.: An ensemble approach for inferring semi-quantitative regulatory dynamics for the differentiation of mouse embryonic stem cells using prior knowledge. In: Goryanin, I.I.* ; Goryachev, A.B.* [Eds.]: Advances in Systems Biology. New York: Springer, 2012. 247-260 (Adv. Exp. Med. Biol. ; 736)
267.
Marr, C. ; Strasser, M. ; Schwarzfischer, M. ; Schroeder, T. & Theis, F.J.: Multi-scale modeling of GMP differentiation based on single-cell genealogies. FEBS J. 279, 3488-3500 (2012)
268.
Meyer-Bäse, A.* ; Cappendijk, S.* & Theis, F.J.: Uncertain gene regulatory networks simplified by gramian-based approach. In: Arabnia, H.R.* ; Tran, Q.-N.* [Eds.]: Proceedings (2011 International Conference on Bioinformatics & Computational Biology (BIOCOMP '11), 18-21 July 2011, Las Vegas, USA). Athens, GA, USA: CSREA Press, 2012. 751-759
269.
Nordhausen, K.* ; Gutch, H.W.* ; Oja, H.* & Theis, F.J.: Joint diagonalization of several scatter matrices for ICA. In: Theis, F.J. ; Cichocki, A.* ; Yeredor, A* ; Zibulevsky, M.* [Eds.]: Proceedings (10th international conference on Latent Variable Analysis and Signal Separation). Heidelberg: Springer, 2012. 172-179 (Lecture Notes in Computer Science ; 7191)
270.
Peng, C. et al.: A unilateral negative feedback loop between miR-200 microRNAs and Sox2/E2F3 controls neural progenitor cell-cycle exit and differentiation. J. Neurosci. 32, 13292-13308 (2012)
271.
Petersen, A.-K. et al.: On the hypothesis-free testing of metabolite ratios in genome-wide and metabolome-wide association studies. BMC Bioinformatics 13:120 (2012)
272.
Plant, C.C.* et al.: Measuring non-Gaussianity by phi-transformed and fuzzy histograms. Adv. Artif. Neural Syst. 2012:962105 (2012)
273.
Ruepp, A. ; Kowarsch, A. & Theis, F.J.: PhenomiR: MicroRNAs in human diseases and biological processes. Methods Mol. Biol. 822, 249-260 (2012)
274.
Schmidl, D. ; Hug, S. ; Li, W.B. ; Greiter, M. & Theis, F.J.: Bayesian model selection validates a biokinetic model for zirconium processing in humans. BMC Syst. Biol. 6:95 (2012)
275.
Sterz, K.* ; Scherer, G.* ; Krumsiek, J. ; Theis, F.J. & Ecker, J.*: Identification and quantification of 1-hydroxybutene-2-yl mercapturic acid in human urine by UPLC- HILIC-MS/MS as a novel biomarker for 1,3-butadiene exposure. Chem. Res. Toxicol. 25, 1565-1567 (2012)
276.
Strasser, M. ; Theis, F.J. & Marr, C.: Stability and multiattractor dynamics of a toggle switch based on a two-stage model of stochastic gene expression. Biophys. J. 102, 19-29 (2012)
277.
Theis, F.J.: Bayesian fuzzy clustering of colored graphs. In: Theis, F.J. ; Cichocki, A.* ; Yeredor, A* ; Zibulevsky, M.* [Eds.]: Proceedings (10th international conference on Latent Variable Analysis and Signal Separation). Heidelberg: Springer, 2012. 528-535 (Lecture Notes Comp. Sci. ; 7191)
278.
Winkler, C. et al.: A strategy for combining minor genetic susceptibility genes to improve prediction of disease in type 1 diabetes. Genes Immun. 13, 549-555 (2012)
279.
Baskaran, T.* ; Blöchl, F. ; Brück, T.* & Theis, F.J.: The Heckscher-Ohlin model and the network structure of international trade. Int. Rev. Econom. Finance 20, 135-145 (2011)
280.
Blöchl, F. ; Wittmann, D.M. & Theis, F.J.: Effective parameters determining the information flow in hierarchical biological systems. Bull. Math. Biol. 73, 706-725 (2011)