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Article Dans Une Revue Bioinformatics Année : 2011

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

Résumé

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 et versions

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

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Paternité - Pas d'utilisation commerciale

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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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