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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Bioinformatics, Oxford University Press (OUP), 2011, 27 (6), pp.881-882. 〈http://bioinformatics.oxfordjournals.org/content/27/6/881.full〉. 〈10.1093/bioinformatics/btr034〉
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https://hal.inria.fr/hal-00780593
Contributeur : Florence Forbes <>
Soumis le : jeudi 24 janvier 2013 - 14:24:48
Dernière modification le : jeudi 11 janvier 2018 - 06:21:58

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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, Oxford University Press (OUP), 2011, 27 (6), pp.881-882. 〈http://bioinformatics.oxfordjournals.org/content/27/6/881.full〉. 〈10.1093/bioinformatics/btr034〉. 〈hal-00780593〉

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