General Information
| Description | A software for biological module detection when data is incomplete, high dimensional and dependent |
| Homepage | http://spacem3.gforge.inria.fr/ |
Publications
SpaCEM: a software for biological module detection when data is incomplete, high dimensional and dependent
Summary:
Among classical methods for module detection, SpaCEM3 provides ad hoc algorithms that were shown to be particularly well adapted to specific features of biological data: high-dimensionality, interactions between components (genes) and integrated treatment of missingness in observations. The software, currently in its version 2.0, is developed in C++ and can be used either via command line or with the GUI under Linux and Windows environments.
Availability:
The SpaCEM3 software, a documentation and datasets are available from http://spacem3.gforge.inria.fr/.
Contact:
matthieu.vignes@toulouse.inra.fr; SpaCEM3-help@lists.gforge.inria.fr
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