Correlation ranking and stepwise regression procedures in principal components artificial neural networks modeling with application to predict toxic activity and human serum albumin binding affinity

Chemometrics and Intelligent Laboratory Systems

Volumn 104, Issue 2, 2010, Pages 181-194

  Deeb, Omar ^a  

^a AL QUDS UNIVERSITY   (Palestine)

Author keywords

ANN; Correlation ranking; HSA binding affinity; PCA; QSAR; Toxicity

Indexed keywords

BENZENE DERIVATIVE; HUMAN SERUM ALBUMIN;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BINDING AFFINITY; CONTROLLED STUDY; CORRELATIONAL STUDY; INTERMETHOD COMPARISON; LEARNING ALGORITHM; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; PREDICTION; PRIORITY JOURNAL; PROCESS OPTIMIZATION; PROTEIN BINDING; QUANTITATIVE STRUCTURE PROPERTY RELATION; TOXICITY TESTING; VALIDATION PROCESS;

EID: 78650309160     PISSN: 01697439     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chemolab.2010.08.007     Document Type: Article

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