Ensembles

RandomSCM: interpretable ensembles of sparse classifiers tailored for omics data

RandomSCM: interpretable ensembles of sparse classifiers tailored for omics data

Recent metabolomics measurement devices, such as mass spectrometers, produce extremely high-dimensional data. Together with small …

Thibaud Godon, Pier-Luc Plante, Baptiste Bauvin, Élina Francovic-Fontaine, Alexandre Drouin, François Laviolette, Jacques Corbeil

Intelligent Systems for Molecular Biology and European Conference on Computational Biology, 2021.