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

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Matthieu Vignes, Juliette Blanchet, Damien Leroux, Florence Forbes

Published: 01 Jan 2011, Last Modified: 03 Oct 2024Bioinform. 2011EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Summary: 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.