Search results

Talk (8)

61.
Talk
Raetsch, G.: An Introduction to Kernel Methods for Classification, Regression and the Analysis of Structured Data. Machine Learning Summer School 2012, Santa Cruz, CA, USA (2012)
62.
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)
63.
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)
64.
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)
65.
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)
66.
Talk
Rätsch, G.; Ong, C.: Kernel Methods for Predictive Sequence Analysis. German Conference on Bioinformatics (GCB 2006), Tübingen, Germany (2006)
67.
Talk
Clark, R.; Ossowski S, Schweikert, G.; Rätsch, G.; Shinn P, Zeller G, Warthmann N, Fu G, Hinds D, Chen H, Frazer K, Huson D, Schölkopf, B.; Nordborg M, Ecker, J.; Weigel, D.: An Inventory of Sequence Polymorphisms For Arabidopsis. 17th International Conference on Arabidopsis Research, Madison, Wisc., USA (2006)
68.
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)

69.
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)
70.
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)
71.
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)
72.
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)
73.
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)
74.
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)
75.
Poster
Clark, R.; Ossowski, S.; Schweikert, G.; Zeller, G.; Shinn , P.; Raetsch, 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)

76.
Thesis - PhD
Rätsch, G.: Robust Boosting via Convex Optimization. Dissertation, 166 pp., Universität Potsdam, Potsdam, Germany (2001)

Report (2)

77.
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.
78.
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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