Prediction of human intestinal absorption by GA feature selection and support vector machine regression

International Journal of Molecular Sciences

Volumn 9, Issue 10, 2008, Pages 1961-1976

  Yan, Aixia ^a   Wang, Zhi ^a   Cai, Zongyuan ^a  

^a BEIJING UNIVERSITY OF CHEMICAL TECHNOLOGY   (China)

Author keywords

Genetic algorithm feature selection; Human intestinal absorption (HIA); Kohonen's self organizing Neural Network (KohNN); Quantitative Structure Activity Relationships (QSAR); Support Vector Machine (SVM)

Indexed keywords

NEW DRUG;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CORRELATION COEFFICIENT; DATA BASE; DRUG ABSORPTION; DRUG DISTRIBUTION; DRUG EXCRETION; DRUG METABOLISM; DRUG RESEARCH; DRUG SCREENING; EXPERIMENTAL STUDY; GENETIC ALGORITHM; GENETIC CODE; HUMAN; INTESTINE ABSORPTION; MOLECULAR MODEL; PARTIAL LEAST SQUARES REGRESSION; PREDICTION; QUANTITATIVE STRUCTURE ACTIVITY RELATION; REGRESSION ANALYSIS; SUPPORT VECTOR MACHINE;

EID: 54349105915     PISSN: None     EISSN: 14220067     Source Type: Journal    
DOI: 10.3390/ijms9101961     Document Type: Article

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