Comparison of Linear and Nonlinear Classification Algorithms for the Prediction of Drug and Chemical Metabolism by Human UDP-Glucuronosyltransferase Isoforms

Journal of Chemical Information and Computer Sciences

Volumn 43, Issue 6, 2003, Pages 2019-2024

  Sorich, Michael J ^a   Miners, John O ^b   McKinnon, Ross A ^a   Winkler, David A ^c   Burden, Frank R ^d   Smith, Paul A ^b  

^a UNIVERSITY OF SOUTH AUSTRALIA   (Australia)

^b FLINDERS UNIVERSITY   (Australia)

^c CSIRO   (Australia)

^d MONASH UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DRUG PRODUCTS; ENZYMES; METABOLISM; NANOSTRUCTURED MATERIALS; NEURAL NETWORKS; PATTERN RECOGNITION;

ENDOGENOUS COMPOUNDS; SUPPORT VECTOR MACHINES (SVM);

BIOCHEMISTRY;

DRUG; GLUCURONOSYLTRANSFERASE; ISOENZYME;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BAYES THEOREM; CHEMISTRY; CLASSIFICATION; COMPARATIVE STUDY; FORECASTING; HUMAN; METABOLISM; NOMENCLATURE; NONLINEAR SYSTEM; PHENOTYPE; REGRESSION ANALYSIS; STATISTICAL MODEL;

ALGORITHMS; BAYES THEOREM; FORECASTING; GLUCURONOSYLTRANSFERASE; HUMANS; ISOENZYMES; LEAST-SQUARES ANALYSIS; LINEAR MODELS; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; PHARMACEUTICAL PREPARATIONS; PHENOTYPE; TERMINOLOGY;

EID: 0345117343     PISSN: 00952338     EISSN: None     Source Type: Journal    
DOI: 10.1021/ci034108k     Document Type: Article

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