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Christian G. Huber
2000 – 2009
- 2009
[j3]Christian G. Huber: Interdependence of theoretical concepts and neuroimaging data. Poiesis & Praxis 6(3-4): 203-217 (2009)- 2008
[j2]Ole Schulz-Trieglaff, Rene Hussong, Clemens Gröpl, Andreas Leinenbach, Andreas Hildebrandt, Christian G. Huber, Knut Reinert: Computational Quantification of Peptides from LC-MS Data. Journal of Computational Biology 15(7): 685-704 (2008)- 2007
[j1]Nico Pfeifer, Andreas Leinenbach, Christian G. Huber, Oliver Kohlbacher: Statistical learning of peptide retention behavior in chromatographic separations: a new kernel-based approach for computational proteomics. BMC Bioinformatics 8 (2007)
[c8]Eva Lange, Clemens Gröpl, Ole Schulz-Trieglaff, Andreas Leinenbach, Christian G. Huber, Knut Reinert: A geometric approach for the alignment of liquid chromatography - mass spectrometry data. ISMB/ECCB (Supplement of Bioinformatics) 2007: 273-281- 2006
[e1]Christian G. Huber, Oliver Kohlbacher, Knut Reinert (Eds.): Computational Proteomics, 20.-25. November 2005. Dagstuhl Seminar Proceedings 05471, Internationales Begegnungs- und Forschungszentrum für Informatik (IBFI), Schloss Dagstuhl, Germany 2006- 2005
[c7]Clemens Gröpl, Eva Lange, Knut Reinert, Oliver Kohlbacher, Marc Sturm, Christian G. Huber, Bettina M. Mayr, Christoph L. Klein: Algorithms for the Automated Absolute Quantification of Diagnostic Markers in Complex Proteomics Samples. CompLife 2005: 151-162
[c6]Nathanaël Delmotte, Bettina M. Mayr, Andreas Leinenbach, Knut Reinert, Oliver Kohlbacher, Christoph L. Klein, Christian G. Huber: Evaluation of LC-MS data for the absolute quantitative analysis of marker proteins. Computational Proteomics 2005
[c5]Christian G. Huber, Oliver Kohlbacher, Knut Reinert: 05471 Executive Summary - Computational Proteomics. Computational Proteomics 2005
[c4]Christian G. Huber, Oliver Kohlbacher, Knut Reinert: 05471 Abstract Collection - Computational Proteomics. Computational Proteomics 2005
[c3]Christian Schley, Matthias Altmeyer, Rolf Müller, Christian G. Huber: Multidimensional Peptide/Protein Analysis and Identification by Sequence Database Search Using Mass Spectrometric Data. Computational Proteomics 2005
[c2]Marc Sturm, Sascha Quinten, Christian G. Huber, Oliver Kohlbacher: A machine learning approach for prediction of DNA and peptide retention times. Computational Proteomics 2005
[c1]Hansjörg Toll, Peter Berger, Andreas Hofmann, Andreas Hildebrandt, Herbert Oberacher, Hans-Peter Lenhof, Christian G. Huber: Glycosylation Patterns of Proteins Studied by Liquid Chromatography-Mass Spectrometry and Bioinformatic Tools. Computational Proteomics 2005
Coauthor Index
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last updated on 2013-10-02 11:19 CEST by the dblp team



