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Model-based gene set analysis mgsa

Online

Reduces the number of redundant categories returned by the gene category analysis. mgsa employs probabilistic inference via a Metropolis-Hasting algorithm to estimate the probability of categories to be active. It allows researchers not only to use Gene Ontology (GO) as source of gene sets, but also other categorization schemes. The tool provides a simple and flexible application programming interface.

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mgsa classification

mgsa specifications

Software type:
Package/Module
Restrictions to use:
None
Programming languages:
R
Computer skills:
Advanced
Stability:
Stable
Interface:
Command line interface
Operating system:
Unix/Linux, Mac OS, Windows
License:
Artistic License version 2.0
Version:
1.22.0
Maintained:
Yes

mgsa distribution

versioning

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mgsa support

Documentation

Maintainer

  • Julien Gagneur <>

Credits

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Publications

Institution(s)

Institute for Medical Genetics, Charité-Universitätsmedizin Berlin, Berlin, Germany; Max Planck Institute for Molecular Genetics, Berlin, Germany; Berlin-Brandenburg Center for Regenerative Therapies (BCRT), Charité-Universitätsmedizin Berlin, Berlin, Germany; European Molecular Biology Laboratory, Heidelberg, Germany

Funding source(s)

Supported by Deutsche Forschungsgemeinschaft (DFG RO 2005/4-1).

Link to literature

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