PuSH - Publikationsserver des Helmholtz Zentrums München

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1.
Raffler, J. et al.: Identification and MS-assisted interpretation of genetically influenced NMR signals in human plasma. Genome Med. 5:13 (2013)
2.
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)
3.
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)
4.
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
5.
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)
6.
Blöchl, F.: Integrating machine learning approaches into network science: Exemplary applications and novel algorithms. Regensburg, Universität Regensburg, Institut für Biophysik und physikalische Biochemie, Diss., 2011, 160 S.
7.
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
8.
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
9.
Ansorg, M. ; Blöchl, F. ; zu Castell, W. ; Theis, F.J. & Wittmann, D.M.: Gene regulation at the Mid-Hindbrain Boundary: Study of a mathematical model in the stationary limit. Int. J. Biomath. Biostat. 1, 9-21 (2010)
10.
Blöchl, F. ; Kowarsch, A. & Theis, F.J.: Second-order source separation based on prior knowledge realized in a graph model. In: Vigneron, V.* ; Zarzoso, V.* ; Moreau, E.* [Eds.]: Proceedings (Latent variable analysis and signal separation : 9th international conference, 27-30 September 2010, St. Malo, France). Berlin: Springer, 2010. 434-441 (Lecture Notes Comp. Sci. ; 6365)
11.
Blöchl, F. ; Hartsperger, M.L. ; Stuempflen, V. & Theis, F.J.: Uncovering the structure of heterogeneus biological data: Fuzzy graph partitioning in the k-partite setting. In: Schomburg, D.* ; Grote, A.* [Eds.]: Proceedings (German Conference on Bioinformatics 2010). Bonn: Ges. f. Inform., 2010. 31-40 ( ; P-173)
12.
Blöchl, F. ; Theis, F.J. ; Vega-Redondo, F.* & Fisher, E.O'N.*: Which sectors of a modern economy are most central? In: Empirical and theoretical methods. München: ifo Institut für Wirtschaftsforschung e.V., 2010. 1-20 (CESifo working paper series ; 3175)
13.
Hartsperger, M.L. ; Blöchl, F. ; Stuempflen, V. & Theis, F.J.: Structuring heterogeneous biological information using fuzzy clustering of k-partite graphs. BMC Bioinformatics 11:522 (2010)
14.
Kowarsch, A. et al.: Knowledge-based matrix factorization temporally resolves the cellular responses to IL-6 stimulation. BMC Bioinformatics 11:585 (2010)
15.
Blöchl, F. & Theis, F.J.: Estimating hidden influences in metabolic and gene regulatory networks. In: Adali, T.* [Eds.]: Independent Component Analysis and Signal Separation. Berlin: Springer, 2009. 387-394 (Lecture Notes Comp. Sci. ; 5441)
16.
Wittmann, D.M. et al.: Spatial analysis of expression patterns predicts genetic interactions at the mid-hindbrain boundary. PLoS Comput. Biol. 5:e1000569 (2009)
17.
Wittmann, D.M. ; Schmidl, D. ; Blöchl, F. & Theis, F.J.: Reconstruction of graphs based on random walks. Theor. Comput. Sci. 410, 3826-3838 (2009)
18.
Wong, P. et al.: An evolutionary and structural characterization of mammalian protein complex organization. BMC Genomics 9:629 (2008)