ML2Motif—Reliable extraction of discriminative sequence motifs from learning machines

Open Access

Peer-reviewed

Research Article

Marina M. -C. Vidovic ,

* E-mail: marina.vidovic@tu-berlin.de (MMCV); klaus-robert.mueller@tu-berlin.de (KRM); nico.goernitz@tu-berlin.de (NG)

Affiliation Machine Learning Group, Technical University of Berlin, Berlin, Germany
⨯
Marius Kloft,

Affiliation Department of Computer Science, Humboldt University of Berlin, Berlin, Germany
⨯
Klaus-Robert Müller ,

* E-mail: marina.vidovic@tu-berlin.de (MMCV); klaus-robert.mueller@tu-berlin.de (KRM); nico.goernitz@tu-berlin.de (NG)

Affiliations Machine Learning Group, Technical University of Berlin, Berlin, Germany, Department of Brain and Cognitive Engineering, Korea University, Anam-dong, Seongbuk-gu, Seoul 136-713, Korea
⨯
Nico Görnitz

* E-mail: marina.vidovic@tu-berlin.de (MMCV); klaus-robert.mueller@tu-berlin.de (KRM); nico.goernitz@tu-berlin.de (NG)

Affiliation Machine Learning Group, Technical University of Berlin, Berlin, Germany
⨯

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Sequence motif analysis
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Machine learning
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Support vector machines
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Oligomers
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Network motifs
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Computational biology
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Nucleotides
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Neural networks
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