ML2Motif specifications

Unique identifier:
OMICS_17266
Interface:
Command line interface
Operating system:
Unix/Linux
Computer skills:
Advanced
Requirements:
shogun toolbox, biocLite
Software type:
Framework/Library
Restrictions to use:
None
Programming languages:
Python
Stability:
Stable
Maintained:
Yes

versioning

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ML2Motif distribution

download

ML2Motif support

Maintainer

  • Marina Vidovic <>

Additional information

Tuto: https://github.com/mcvidomi/ML2Motif#tutorial

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Credits

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Publications

Institution(s)

Machine Learning Group, Technical University of Berlin, Berlin, Germany; Department of Computer Science, Humboldt University of Berlin, Berlin, Germany; Department of Brain and Cognitive Engineering, Korea University, Anam-dong, Seongbuk-gu, Seoul, Korea

Funding source(s)

Supported by BMBF ALICE II grant 01IB15001B; by the German Research Foundation through the grant DFG KL2698/2-1, MU 987/6-1, and RA 1894/1-1; by the National Research Foundation of Korea funded by the Ministry of Education, Science, and Technology in the BK21 program; by the German Ministry for Education and Research through the awards 031L0023A and 031B0187B and the Berlin Big Data Center BBDC (01IS14013A).

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