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Feature selection in omics prediction problems using cat scores and false non-discovery rate control
Feature selection omics prediction problems cat scores false non-discovery rate control
2010/3/18
We revisit the problem of feature selection in linear discriminant analysis (LDA),
i.e. when features are correlated. First, we introduce a pooled centroids formulation
of the multi-class LDA predic...