Publications of G Rätsch

Meeting Abstract (5)

61.
Meeting Abstract
Schweikert, G.; Zeller , G.; Zien, A.; Behr, J.; Sonnenburg, S.; Philips , P.; Ong, C.; Rätsch, G.: mGene: A Novel Discriminative Gene Finder. In 2008 Topics Meeting: Worm Genomics and Systems Biology. 2008 Topics Meeting: Worm Genomics and Systems Biology, Cambridge, MA, USA, July 24, 2008 - July 25, 2008. (2008)
62.
Meeting Abstract
Schweikert, G.; Zeller, G.; Behr, J.; Zien, A.; Ong, C.; de Bona, F.; Sonnenburg, S.; Philips, P.; Rätsch, G.; Widmer, C.: mGene: A Novel Discriminative Gene Finding System. In 4th ISCB Student Council Symposium at the 16th Annual International Conference Intelligent Systems for Molecular Biology (ISMB 2008), p. 20. 4th ISCB Student Council Symposium at the 16th Annual International Conference Intelligent Systems for Molecular Biology (ISMB 2008), Toronto, Canada, July 19, 2008 - July 23, 2008. (2008)
63.
Meeting Abstract
Rätsch, G.; Tsuda, K.: The v-Trick for Image Reconstruction. In First Mathematical Programming Society International Conference on Continuous Optimization (ICCOPT I), MM 4, p. 55. First Mathematical Programming Society International Conference on Continuous Optimization (ICCOPT I), Troy, NY, USA, August 02, 2004 - August 04, 2004. (2004)

Talk (7)

64.
Talk
Raetsch, G.: An Introduction to Kernel Methods for Classification, Regression and the Analysis of Structured Data. Machine Learning Summer School (MLSS 2012), Santa Cruz, CA, USA (2012)
65.
Talk
Rätsch, G.: Transfer Learning Methods and Applications in Computational Biology. NIPS 2009 Workshop on Transfer Learning for Structured Data (TLSD-09), Whistler, BC, Canada (2009)
66.
Talk
Sonnenburg, S.; Zien, A.; Philips, P.; Rätsch, G.: Positional Oligomer Importance Matrices. NIPS 2007 Workshop on Machine Learning in Computational Biology (MLCB 2007), Whistler, BC, Canada (2007)
67.
Talk
Zeller, G.; Schweikert, G.; Clark, R.; Ossowski, S.; Shin, P.; Frazer, K.; Ecker, J.; Weigel, D.; Schölkopf, B.; Rätsch, G.: Machine Learning Algorithms for Polymorphism Detection. NIPS 2007 Workshop on Machine Learning in Computational Biology (MLCB 2007), Whistler, Canada (2007)
68.
Talk
Schweikert, G.; Zeller, G.; Zien, A.; Ong, C.; de Bona, F.; Sonnenburg, S.; Phillips, P.; Rätsch, G.: Ab-initio gene finding using machine learning. NIPS 2006 Workshop on New Problems and Methods in Computational Biology (MLCB 2006), Vancouver, BC, Canada (2006)
69.
Talk
Rätsch, G.; Ong, C.: Kernel Methods for Predictive Sequence Analysis. German Conference on Bioinformatics (GCB 2006), Tübingen, Germany (2006)
70.
Talk
Rätsch, G.; Sonnenburg, S.; Ong, C.; Schölkopf, B.: Accurate prediction of alternative splicing events. NIPS Workshop on Computational Biology and the Analysis of Heterogeneous Data (MLCB 2005), Whistler, BC, Canada (2005)

Poster (7)

71.
Poster
Drewe, P.; Stegle, O.; Bohnert, R.; Borgwardt, K.; Rätsch, G.: Statistical Tests for Detecting Differential RNA-Transcript Expression from Read Counts. 19th Annual International Conference on Intelligent Systems for Molecular Biology and 10th European Conference on Computational Biology (ISMB/ECCB 2011), Wien, Austria (2011)
72.
Poster
Stegle, O.; Drewe, P.; Bohnert, R.; Borgwardt, K.; Rätsch, G.: Detecting Differential Transcript Expression from RNA-SEQ Experiments. 3rd Berlin Summer Meeting: Computational & Experimental Molecular Biology Meeting, Berlin, Germany (2010)
73.
Poster
De Bona, F.; Ong, C.; Zien, A.; Rätsch, G.: RNA secondary structure prediction using large margin methods. 15th Annual International Conference on Intelligent Systems for Molecular Biology & 6th European Conference on Computational Biology (ISMB/ECCB 2007), Wien, Austria (2007)
74.
Poster
Schweikert, G.; Zien, A.; Zeller, G.; Ong, C.; de Bona, F.; Sonnenburg, S.; Philips, P.; Rätsch, G.: mGene: A Novel Discriminative Gene Finding System. 15th Annual International Conference on Intelligent Systems for Molecular Biology, 6th Annual European Conference on Computational Biology (ISMB/ECCB 2007), Wien, Austria (2007)
75.
Poster
Raetsch, G.; Sonnenburg, S.; Srinivasan, J.; Müller, K.-R.; Sommer , R.; Schölkopf, B.: Splice Form Prediction using Machine Learning. 14th International Conference on Intelligent Systems for Molecular Biology (ISMB 2006), Fortaleza, Brazil (2006)
76.
Poster
Zeller, G.; Schweikert, G.; Clark, R.; Ossowski, S.; Warthmann, N.; Shinn, P.; Frazer, K.; Ecker, J.; Huson, D.; Weigel, D. et al.; Schölkopf, B.; Rätsch, G.: Machine Learning Algorithms for Polymorphism Detection. 14th International Conference on Intelligent Systems for Molecular Biology (ISMB 2006), Fortaleza, Brazil (2006)
77.
Poster
Clark, R.; Ossowski, S.; Schweikert, G.; Zeller, G.; Shinn , P.; Rätsch, G.; Warthmann, N.; Fu, G.; Hinds, D.; Cheng, H. et al.; Frazer, K.; Toomajian, C.; Hu, T.; Huson, D.; Schölkopf, B.; Nordborg, M.; Ecker, J.; Weigel, D.: An Inventory of Common Sequence Polymorphisms for Arabidopsis. 17th International Conference on Arabidopsis Research (ICAR 2006), Madison, WI, USA (2006)

Thesis - PhD (1)

78.
Thesis - PhD
Rätsch, G.: Robust Boosting via Convex Optimization. Dissertation, 166 pp., Universität Potsdam, Potsdam, Germany (2001)

Report (2)

79.
Report
Zien, A.; Rätsch, G.; Ong, C.: Towards the Inference of Graphs on Ordered Vertexes (Technical Report of the Max Planck Institute for Biological Cybernetics, 150). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2006), 9 pp.
80.
Report
Tsuda, K.; Rätsch, G.: Image Reconstruction by Linear Programming (Technical Report of the Max Planck Institute for Biological Cybernetics, 118). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2003), 12 pp.
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