most citedFeature selection in omics prediction problems using cat scores and false nondiscovery rate control

109 citations · 109 across the 1 of their papers we have counts for

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stat.AP2009★ 109 cited

Feature selection in omics prediction problems using cat scores and false nondiscovery rate control

Miika Ahdesmäki, Korbinian Strimmer

We revisit the problem of feature selection in linear discriminant analysis (LDA), that is, when features are correlated. First, we introduce a pooled centroids formulation of the…