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.#R##N##R##N#Availability: The SpaCEM3 software, a documentation and datasets are available from http://spacem3.gforge.inria.fr/.#R##N##R##N#Contact: rf.arni.esuoluot@sengiv.ueihttam; rf.airni.egrofg.stsil@pleh-3MECapS
['Matthieu Vignes', 'Juliette Blanchet', 'Damien Leroux', 'Florence Forbes']
SpaCEM3: a software for biological module detection when data is incomplete, high dimensional and dependent