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Journal Articles Bioinformatics Year : 2011

SpaCEM3: a software for biological module detection when data is incomplete, high dimensional and dependent

Abstract

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.
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Dates and versions

hal-00780593 , version 1 (28-05-2020)

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Attribution - NonCommercial

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Matthieu Vignes, Juliette Blanchet, Damien Leroux, Florence Forbes. SpaCEM3: a software for biological module detection when data is incomplete, high dimensional and dependent. Bioinformatics, 2011, 27 (6), pp.881-882. ⟨10.1093/bioinformatics/btr034⟩. ⟨hal-00780593⟩
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