Supervised self organizing maps for classification and determination of potentially discriminatory variables: Illustrated by application to nuclear magnetic resonance metabolomic profiling

Analytical Chemistry

Volumn 82, Issue 2, 2010, Pages 628-638

  Wongravee, Kanet ^a   Lloyd, Gavin R ^a   Silwood, Christopher J ^b   Grootveld, Martin ^c   Brereton, Richard G ^a  

^a UNIVERSITY OF BRISTOL   (United Kingdom)

^b LONDON SOUTH BANK UNIVERSITY   (United Kingdom)

^c UNIVERSITY OF BOLTON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; EXPERIMENTAL DATA; HUMAN SALIVA; METABOLIC PROFILES; METABOLIC PROFILING; METABOLOMICS; MULTI-CLASS; NMR SPECTRUM; ONE-FACTOR; OVERFITTING; RELATIVE IMPORTANCE; SUPERVISED SELF-ORGANIZING MAP; TEST SETS; TRAINING SETS;

CLASSIFIERS; METABOLISM; NUCLEAR MAGNETIC RESONANCE; NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY; RESONANCE;

SELF ORGANIZING MAPS;

EID: 75649106135     PISSN: 00032700     EISSN: None     Source Type: Journal    
DOI: 10.1021/ac9020566     Document Type: Article

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