Publikationen von G Rätsch

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)

Rätsch, G.: Advanced Methods for Sequence Analysis. Vorlesung WS 2006/2007: Eberhard-Karls-Universität Tübingen, Tübingen, Germany (2007)