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A Decision‐Theory Approach to Interpretable Set Analysis for High‐Dimensional Data
Authors:Simina M. Boca  Héctor Corrada Bravo  Brian Caffo  Jeffrey T. Leek  Giovanni Parmigiani
Affiliation:1. Division of Cancer Epidemiology and Genetics, National Cancer Institute, , Bethesda, Maryland 20892, U.S.A.;2. University of Maryland, , College Park, Maryland 20742, U.S.A.;3. Johns Hopkins Bloomberg School of Public Health, , Baltimore, Maryland 21205, U.S.A.;4. Dana Farber Cancer Institute and Harvard School of Public Health, , Boston, Massachusetts 02115, U.S.A.
Abstract:
Keywords:Atomic false discovery rate  Gene‐sets  Hypothesis testing  Set‐level inference
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