Controlling the false discovery rate for feature selection in high-resolution NMR spectra

Statistical Analysis and Data Mining

Volumn 1, Issue 2, 2008, Pages 57-66

  Kim, Seoung Bum ^a   Chen, Victoria C P ^a   Park, Youngja ^b   Ziegler, Thomas R ^b   Jones, Dean P ^b  

^a The University of Texas at Arlington   (United States)

^b EMORY UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

False discovery rate; Feature selection; Metabolomics; Nuclear magnetic resonance; Orthogonal signal correction

Indexed keywords

CLASSIFICATION (OF INFORMATION); FEATURE SELECTION; LEAST SQUARES APPROXIMATIONS; METABOLITES; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; PRINCIPAL COMPONENT ANALYSIS;

CLASSIFICATION ABILITY; FALSE DISCOVERY RATE; FEATURES SELECTION; HIGH RESOLUTION; MAGNETIC RESONANCE SPECTRA; METABOLOMICS; MODELING PROCESS; ORTHOGONAL SIGNAL CORRECTION; PARTIAL LEAST-SQUARES; PRINCIPAL-COMPONENT ANALYSIS;

NUCLEAR MAGNETIC RESONANCE;

EID: 76649092281     PISSN: 19321872     EISSN: 19321864     Source Type: Journal    
DOI: 10.1002/sam.10005     Document Type: Article

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