Summary: Among classical methods for module detection, SpaCEM(3) 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 SpaCEM(3) software, a documentation and datasets are available from http://spacem3.gforge.inria.fr/.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3051335 | PMC |
| http://dx.doi.org/10.1093/bioinformatics/btr034 | DOI Listing |
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