PuSH - Publication Server of Helmholtz Zentrum München

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281.
Blöchl, F. et al.: Are we to integrate previous information into microarray analyses? Interpretation of a Lmx1b-knockout experiment. In: Górriz, J.M.* ; Lang, E.W.* ; Ramirez, J.* [Eds.]: Recent Advances in Biomedical Signal Processing. Hilversum: Bentham Science Publishers, 2011. 157-170
282.
Blöchl, F. ; Theis, F.J. ; Vega-Redondo, F.* & Fisher, E.*: Vertex centralities in input-output networks reveal the structure of modern economies. Phys. Rev. E 83:046127 (2011)
283.
Breindl, C.* ; Waldherr, S.* ; Wittmann, D.M. ; Theis, F.J. & Allgoewer, F.*: Steady-state robustness of qualitative gene regulation networks. Int. J. Robust Nonlin. 21, 1742-1758 (2011)
284.
Gutch, H.W.* ; Krumsiek, J. & Theis, F.J.: An ISA algorithm with unknown group sizes successfully identifies biologically meaningful clusters in metabolomics data. In: Eur. Signal Process. Conf (19th European Signal Processing Conference, 29 August - 2 September 2011, Barcelona). Barcelona: EUSIPCO, 2011. 1733-1737
285.
Hennig, H.* et al.: The nature and perception of fluctuations in human musical rhythms. PLoS ONE 6:e26457 (2011)
286.
Kowarsch, A. ; Preusse, M. ; Marr, C. & Theis, F.J.: miTALOS: Analyzing the tissue-specific regulation of signaling pathways by human and mouse microRNAs. RNA 17, 809-819 (2011)
287.
Krumsiek, J. ; Suhre, K. ; Illig, T. ; Adamski, J. & Theis, F.J.: Gaussian graphical modeling reconstructs pathway reactions from high-throughput metabolomics data. BMC Syst. Biol. 5:21 (2011)
288.
Krumsiek, J. ; Marr, C. ; Schroeder, T. & Theis, F.J.: Hierarchical differentiation of myeloid progenitors is encoded in the transcription factor network. PLoS ONE 6:e22649 (2011)
289.
Krumsiek, J. ; Wittmann, D.M. & Theis, F.J.: From discrete to continuous gene regulation models - a tutorial using the odefy toolbox. Applications of MATLAB in Science and Engineering. Rijeka: InTech, 2011. 35-60
290.
Laaser, I. ; Theis, F.J. ; Hrabě de Angelis, M. ; Kolb, H.-J. & Adamski, J.: Huge splicing frequency in human Y chromosomal UTY gene. OMICS 15, 141-154 (2011)
291.
Lang, E.W.* et al.: Exploratory matrix factorization techniques for large scale biomedical data sets. In: Górriz, J.M.* ; Lang, E.W.* ; Ramirez, J.* [Eds.]: Recent Advances in Biomedical Signal Processing. Oak Park, IL: Bentham Science Publishers, 2011. 26-47
292.
Lang, E.W.* et al.: Exploratory matrix factorization techniques for large scale biomedical data sets. In: Górriz, J.M.* ; Lang, E.W.* ; Ramirez, J.* [Eds.]: Recent Advances in Biomedical Signal Processing. Sharjah: Bentham Science, 2011. 26-47
293.
Meyer-Bäse, A.* et al.: Stability analysis of hybrid stochastic gene regulatory networks. In: Arabnia, H.R.* ; Tran, Q.-N.* [Eds.]: Proceedings (The 2011 International Conference on Bioinformatics and Computational Biology). Elsevier, 2011. ( ; Proceedings of BIOCOMP'11)
294.
Mittelstraß, K. et al.: Discovery of sexual dimorphisms in metabolic and genetic biomarkers. PLoS Genet. 7:e1002215 (2011)
295.
Müller, N.S.* ; Krumsiek, J. ; Theis, F.J. ; Böhm, C.* & Meyer-Bäse, A.*: Gaussian graphical modeling reveals specific lipid correlations in glioblastoma cells. Proc. SPIE 8058:805819 (2011)
296.
Raia, V.* et al.: Dynamic mathematical modeling of IL13-induced signaling in Hodgkin and primary mediastinal B-Cell lymphoma allows prediction of therapeutic targets. Cancer Res. 71, 693-704 (2011)
297.
Sass, S. et al.: MicroRNAs coordinately regulate protein complexes. BMC Syst. Biol. 5:136 (2011)
298.
Schwarzfischer, M. et al.: Efficient fluorescence image normalization for time lapse movies. In: Proceedings (Microscopic Image Analysis with Applications in Biology, 2nd September 2011, Heidelberg, Germany). Heidelberg: MIAAB, 2011. http://www.miaab.org/miaab-2011-
299.
Theis, F.J. ; Bohl, S.* & Klingmüller, U.*: Theoretical analysis of time-to-peak responses in biological reaction networks. Bull. Math. Biol. 73, 978-1003 (2011)
300.
Theis, F.J. ; Latif, N.* ; Wong, P. & Frishman, D.: Complex principal component and correlation structure of 16 yeast genomic variables. Mol. Biol. Evol. 28, 2501-2512 (2011)