Browsing Faculty of Natural and Agricultural Sciences by Subject "binary classification"
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Variable selection for binary classification using error rate p-values applied to metabolomics data
(BioMed Central, 2016)Background: Metabolomics datasets are often high-dimensional though only a limited number of variables are expected to be informative given a specific research question. The important task of selecting informative variables ...