Publikationen von G Rätsch

Zeller, G.; Eichner, J.; Sachsenberg, T.; Laubinger, S.; Weigel, D.; Rätsch, G.: Re-Annotating The Arabidopsis Transcriptome With Tiling Microarrays. In 4th International Society for Computational Biology Student Council Symposium, 32, S. 21. Fourth International Society for Computational Biology Student Council Symposium (ISCB 2008) , Toronto, Canada, 18. Juli 2008. (2008)

Schweikert, G.; Zeller, G.; Zien, A.; Ong, C.; De Bona, F.; Sonnenburg, S.; Philips, P.; Rätsch, G.: mGene: A Novel Discriminative Ab-initio Gene Finding System. In Automated Function Prediction: Biosapiens Joint Special Interest Group Meeting, S. 36 - 37. Automated Function Prediction: Biosapiens Joint Special Interest Group Meeting, Wien, Austria, 19. Juli 2007 - 20. Juli 2007. (2007)

Sonnenburg, S.; Rätsch, G.; De Bona, F.: SHOGUN: A Large Scale Machine Learning Toolbox. In 2nd International R User Conference: useR! 2006, S. 155. 2nd International R User Conference: useR! 2006, Wien, Austria, 15. Juni 2006 - 17. Juni 2006. (2006)

Behr, J.; Bohnert, R.; Kahles, A.; Rätsch, G.: Simultaneous RNA-seq-based Transcript Inference and Quantification Using Mixed Integer Programming. NIPS 2011 Workshop Machine Learning in Computational Biology , Sierra Nevada, Spain (2011)

Rätsch, G.: Transcriptome Analysis with Galaxy. Galaxy Developer Conference 2010 (GDC2010) , Cold Spring Harbor, NY, USA (2010)

Rätsch, G.: Machine Learning Methods for RNA-seq-based Transcriptome Reconstruction. NGS Bioinformatics Meeting, Paris, France (2010)

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)

Bohnert, R.; Behr, J.; Rätsch, G.: Quantitative Detection of Alternative Transcripts with RNA-Seq Data. ISMB 2009 Special Interest Group on Short Read Sequencing, Stockholm, Sweden (2009)

Sonnenburg, S.; Zien, A.; Behr, J.; Schweikert, G.; Franc, V.; Philips, P.; Rätsch, G.: Bioinformatics (Past, Current and Future Projects). IDA Retreat (2009)

Sonnenburg, S.; Zien, A.; Behr, J.; Schweikert, G.; Philips, P.; Rätsch, G.: Large Scale Machine Learning for Genomic Sequence Analysis (Support Vector Machine Based Signal Detectors). Eberhard-Karls-Universität, Tübingen, Germany (2009)

Rätsch, G.: Large Scale Sequence Analysis with Applications to Genomics. CSML: University College London, London, UK (2009)

Sonnenburg, S.; Zien, A.; Behr, J.; Schweikert, G.; Philips, P.; Rätsch, G.: Accurate and Interpretable Large Scale Genomic Signal Detection (Support Vector Machine Based Signal Detectors). Max-Planck-Institut für Molekulare Genetik, Berlin, Germany (2009)

Rätsch, G.: Boosting, Margins and Beyond. Annual Belgian-Dutch Machine Learning Conference (Benelearn 2008), Spa, Belgium (2008)

Rätsch, G.: Machine Learning for Predictive Sequence Analysis. 8th Course on Bioinformatics and Systems Biology, Bertinoro, Italy (2008)

Sonnenburg, S.; Rieck, K.; Rätsch, G.: Large Scale Learning with String Kernels. NIPS 2007 Workshop on Efficient Machine Learning, Whistler, BC, Canada (2007)

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)

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)

Rätsch, G.; Ong, C.; Philips, P.: Probabilistic Models in Machine Learning. Vorlesung WS 2007/2008 Eberhard-Karls-Universität Tübingen, Tübingen, Germany (2007)

Rätsch, G.; Ong, C.; Philips, P.: Advanced Methods for Sequence Analysis in Bioinformatics. Vorlesung WS 2007/2008: Eberhard-Karls-Universität Tübingen, Tübingen, Germany (2007)

Rätsch, G.: Machine Learning in Bioinformatics. 9th Machine Learning Summer School 2007 (MLSS 2007), Tübingen, Germany (2007)