SpaCEM3: a software for biological module detection when data is incomplete, high dimensional and dependent - Archive ouverte HAL Access content directly
Journal Articles Bioinformatics Year : 2011

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

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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 - CC BY 4.0

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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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