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Sonnenburg, Sören [Author]

Machine learning for genomic sequence analysis

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Mieth, Bettina [Author]; Kloft, Marius [Author]; Rodríguez, Juan Antonio [Author]; Sonnenburg, Sören [Author]; Vobruba, Robin [Author]; Morcillo-Suárez, Carlos [Author]; Farré, Xavier [Author]; Marigorta, Urko M. [Author]; Fehr, Ernst [Author]; Dickhaus, Thorsten-Ingo [Author]; Blanchard, Gilles [Author]; Schunk, Daniel [Author]; Navarro, Arcadi [Author]; Müller, Klaus-Robert [Author]

Combining multiple hypothesis testing with machine learning increases the statistical power of genome-wide association studies

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2016

Published in: Scientific reports ; 6(2016), Seite 366-1
Sonnenburg, Sören; Zien, Alexander; Rätsch, Gunnar

ARTS: accurate recognition of transcription starts in human

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Oxford University Press (OUP), 2006

Published in: Bioinformatics, 22 (2006) 14, Seite e472-e480
Rätsch, Gunnar; Sonnenburg, Sören; Schäfer, Christin

Learning Interpretable SVMs for Biological Sequence Classification

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Springer Science and Business Media LLC, 2006

Published in: BMC Bioinformatics, 7 (2006) S1
Zien, Alexander; Krämer, Nicole; Sonnenburg, Sören; Rätsch, Gunnar

Machine Learning and Knowledge Discovery in Databases: The Feature Importance Ranking Measure

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Springer Berlin Heidelberg, 2009

Published in: Machine Learning and Knowledge Discovery in Databases (2009), Seite 694-709
Sonnenburg, Sören; Zien, Alexander; Philips, Petra; Rätsch, Gunnar

POIMs: positional oligomer importance matrices—understanding support vector machine-based signal detectors

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Oxford University Press (OUP), 2008

Published in: Bioinformatics, 24 (2008) 13, Seite i6-i14
Sonnenburg, Sören; Schweikert, Gabriele; Philips, Petra; Behr, Jonas; Rätsch, Gunnar

Accurate splice site prediction using support vector machines

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Springer Science and Business Media LLC, 2007

Published in: BMC Bioinformatics, 8 (2007) S10
Sonnenburg, Sören; Rätsch, Gunnar; Jagota, Arun; Müller, Klaus-Robert

Artificial Neural Networks — ICANN 2002: New Methods for Splice Site Recognition

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Springer Berlin Heidelberg, 2002

Published in: Artificial Neural Networks — ICANN 2002 (2002), Seite 329-336
Jenssen, Robert; Kloft, Marius; Zien, Alexander; Sonnenburg, Sören; Müller, Klaus-Robert

A Scatter-Based Prototype Framework and Multi-Class Extension of Support Vector Machines

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Public Library of Science (PLoS), 2012

Published in: PLoS ONE, 7 (2012) 10, Seite e42947
Ben-Hur, Asa; Ong, Cheng Soon; Sonnenburg, Sören; Schölkopf, Bernhard; Rätsch, Gunnar

Support Vector Machines and Kernels for Computational Biology

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Public Library of Science (PLoS), 2008

Published in: PLoS Computational Biology, 4 (2008) 10, Seite e1000173
Rätsch, Gunnar; Sonnenburg, Sören; Srinivasan, Jagan; Witte, Hanh; Müller, Klaus-R; Sommer, Ralf-J; Schölkopf, Bernhard

Improving the Caenorhabditis elegans Genome Annotation Using Machine Learning

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Public Library of Science (PLoS), 2007

Published in: PLoS Computational Biology, 3 (2007) 2, Seite e20
Müller, Klaus-Robert; Rätsch, Gunnar; Sonnenburg, Sören; Mika, Sebastian; Grimm, Michael; Heinrich, Nikolaus

Classifying ‘Drug-likeness' with Kernel-Based Learning Methods

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American Chemical Society (ACS), 2005

Published in: Journal of Chemical Information and Modeling, 45 (2005) 2, Seite 249-253
Tsuda, Koji; Kawanabe, Motoaki; Rätsch, Gunnar; Sonnenburg, Sören; Müller, Klaus-Robert

A New Discriminative Kernel from Probabilistic Models

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MIT Press - Journals, 2002

Published in: Neural Computation, 14 (2002) 10, Seite 2397-2414
Schweikert, Gabriele; Zien, Alexander; Zeller, Georg; Behr, Jonas; Dieterich, Christoph; Ong, Cheng Soon; Philips, Petra; De Bona, Fabio; Hartmann, Lisa; Bohlen, Anja; Krüger, Nina; Sonnenburg, Sören; Rätsch, Gunnar

mGene: Accurate SVM-based gene finding with an application to nematode genomes

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Cold Spring Harbor Laboratory, 2009

Published in: Genome Research, 19 (2009) 11, Seite 2133-2143
Mieth, Bettina; Kloft, Marius; Rodríguez, Juan Antonio; Sonnenburg, Sören; Vobruba, Robin; Morcillo-Suárez, Carlos; Farré, Xavier; Marigorta, Urko M.; Fehr, Ernst; Dickhaus, Thorsten; Blanchard, Gilles; Schunk, Daniel; Navarro, Arcadi; Müller, Klaus-Robert

Combining Multiple Hypothesis Testing with Machine Learning Increases the Statistical Power of Genome-wide Association Studies

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Springer Science and Business Media LLC, 2016

Published in: Scientific Reports, 6 (2016) 1

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