Variance and covariance heterogeneity analysis for detection of metabolites associated with cadmium exposure

Statistical Applications in Genetics and Molecular Biology

Volumn 13, Issue 2, 2014, Pages 191-201

  Salamanca, Beatriz Valcarcel ^b   Ebbels, Timothy M D ^c   De Iorio, Maria ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

^c IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

Correlation networks; Covariance regression; Genomics; Metabolomics; Variance regression

Indexed keywords

3 HYDROXYISOVALERIC ACID; 4 DEOXYERYTHRONIC ACID; ACETIC ACID; ALANINE; CADMIUM; CHOLINE; CITRIC ACID; CREATINE; CREATININE; DIMETHYLAMINE; DIMETHYLGLYCINE; DRUG METABOLITE; FORMIC ACID; GLYCINE; HIPPURIC ACID; LACTIC ACID; MICROSOMAL AMINOPEPTIDASE; PARA CRESOL SULPHATE; PHENYLACETYLGLUTAMINE; PROLINE BETAINE; PYRUVIC ACID; SUCCINIC ACID; TRIGONELLINE; TRIMETHYLAMINE; TRIMETHYLAMINE OXIDE; UNCLASSIFIED DRUG; UREA;

ARTICLE; BAYES THEOREM; CATALYSIS; CORRELATION ANALYSIS; COVARIANCE REGRESSION MODEL; DRUG URINE LEVEL; ENVIRONMENTAL EXPOSURE; HUMAN; KIDNEY INJURY; MAJOR CLINICAL STUDY; METABOLISM; MULTIPLE LINEAR REGRESSION ANALYSIS; MULTIVARIATE LINEAR REGRESSION; POLLUTANT; STATISTICAL ANALYSIS; VARIANCE REGRESSION MODEL; DRUG EFFECTS; POLLUTION; THEORETICAL MODEL; TOXICITY; URINARY TRACT;

BAYES THEOREM; CADMIUM; ENVIRONMENTAL POLLUTION; HUMANS; MODELS, THEORETICAL; URINARY TRACT;

EID: 84898605616     PISSN: None     EISSN: 15446115     Source Type: Journal    
DOI: 10.1515/sagmb-2013-0041     Document Type: Article

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