most citedRandomSCM: interpretable ensembles of sparse classifiers tailored for omics data

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.LG2022★ 2 cited

RandomSCM: interpretable ensembles of sparse classifiers tailored for omics data

Thibaud Godon, Pier-Luc Plante, Baptiste Bauvin +3

Background: Understanding the relationship between the Omics and the phenotype is a central problem in precision medicine. The high dimensionality of metabolomics data challenges l…