Skip to contents

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

View online
Schließen

Access

... to article via DOI (Volltext ; freely accessible)

Close

Bookmarks

You can manage bookmarks using lists, please log in to your user account for this.

2016

Published in: Scientific reports ; 6(2016), Seite 366-1
Sonnenburg, Sören [Author]

Machine learning for genomic sequence analysis

View online
Schließen

Access

... to E-book via Resolving system

... to E-book via German National Library

Close

Bookmarks

You can manage bookmarks using lists, please log in to your user account for this.
Sonnenburg, Sören; Zien, Alexander; Rätsch, Gunnar

ARTS: accurate recognition of transcription starts in human

View online
Schließen

Access

Close

Bookmarks

You can manage bookmarks using lists, please log in to your user account for this.

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

View online
Schließen

Access

Close

Bookmarks

You can manage bookmarks using lists, please log in to your user account for this.

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

View online
Schließen

Access

Close

Bookmarks

You can manage bookmarks using lists, please log in to your user account for this.

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

View online
Schließen

Access

Close

Bookmarks

You can manage bookmarks using lists, please log in to your user account for this.

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

View online
Schließen

Access

Close

Bookmarks

You can manage bookmarks using lists, please log in to your user account for this.

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

View online
Schließen

Access

Close

Bookmarks

You can manage bookmarks using lists, please log in to your user account for this.

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

View online
Schließen

Access

Close

Bookmarks

You can manage bookmarks using lists, please log in to your user account for this.

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

View online
Schließen

Access

Close

Bookmarks

You can manage bookmarks using lists, please log in to your user account for this.

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

View online
Schließen

Access

Close

Bookmarks

You can manage bookmarks using lists, please log in to your user account for this.

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

View online
Schließen

Access

Close

Bookmarks

You can manage bookmarks using lists, please log in to your user account for this.

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

View online
Schließen

Access

Close

Bookmarks

You can manage bookmarks using lists, please log in to your user account for this.

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

View online
Schließen

Access

Close

Bookmarks

You can manage bookmarks using lists, please log in to your user account for this.

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

View online
Schließen

Access

Close

Bookmarks

You can manage bookmarks using lists, please log in to your user account for this.

Springer Science and Business Media LLC, 2016

Published in: Scientific Reports, 6 (2016) 1

You did not find what you were looking for?

Purchase suggestion
Are you missing something you need for your research? If you have any suggestions please share them here.

Interlibrary Loan
Please search and order your favorite title in the Interlibrary Loan Portal.

Search in field:

Recently searched for:

You did not find what you were looking for?

> Year of publication

Year of publication