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Volumn 77, Issue 5, 2005, Pages 1282-1289
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Statistical total correlation spectroscopy: An exploratory approach for latent biomarker identification from metabolic 1H NMR data sets
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Author keywords
[No Author keywords available]
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Indexed keywords
DISCRIMINAT ANALYSIS;
INTERMOLECULAR CORRELATION;
METABONOMIC STUDY;
STATISTICAL TOTAL CORRELATION SPECTROSCOPY (STOCSY);
BIOMARKERS;
DATA REDUCTION;
INSULIN;
NUCLEAR MAGNETIC RESONANCE;
PATTERN RECOGNITION;
STATISTICAL METHODS;
SPECTROSCOPIC ANALYSIS;
BIOLOGICAL MARKER;
ANALYTIC METHOD;
ANIMAL EXPERIMENT;
ARTICLE;
CARBOHYDRATE DIET;
CONTROLLED STUDY;
CORRELATION ANALYSIS;
COVARIANCE;
DISCRIMINANT ANALYSIS;
INSULIN RESISTANCE;
MALE;
MOUSE;
NONHUMAN;
PATTERN RECOGNITION;
PROTON NUCLEAR MAGNETIC RESONANCE;
REGRESSION ANALYSIS;
SPECTROSCOPY;
STATISTICAL TOTAL CORRELATION SPECTROSCOPY;
URINALYSIS;
AMINES;
ANIMALS;
BIOLOGICAL MARKERS;
CITRIC ACID;
CREATINE;
CREATININE;
DIETARY CARBOHYDRATES;
DISCRIMINANT ANALYSIS;
GLYCERIC ACIDS;
HIPPURATES;
INSULIN RESISTANCE;
KETOGLUTARIC ACIDS;
MAGNETIC RESONANCE SPECTROSCOPY;
MALE;
MICE;
MICE, INBRED BALB C;
MICE, INBRED C57BL;
MICE, INBRED STRAINS;
PENTANOIC ACIDS;
PRINCIPAL COMPONENT ANALYSIS;
PROPIONIC ACIDS;
PROTONS;
SARCOSINE;
SUCCINIC ACID;
TAURINE;
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EID: 20044366919
PISSN: 00032700
EISSN: None
Source Type: Journal
DOI: 10.1021/ac048630x Document Type: Article |
Times cited : (803)
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References (23)
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