Review on modelling aspects in reversed-phase liquid chromatographic quantitative structure-retention relationships

Analytica Chimica Acta

Volumn 602, Issue 2, 2007, Pages 164-172

  Put, R ^a   Vander Heyden, Y ^a  

^a PHARMACEUTICAL INSTITUTE   (Belgium)

Author keywords

Molecular descriptors; Quantitative structure retention relationships; Retention prediction; Reversed phase chromatography

Indexed keywords

GENETIC ALGORITHMS; LEAST SQUARES APPROXIMATIONS; LIQUID CHROMATOGRAPHY; MATHEMATICAL MODELS; MOLECULAR DYNAMICS; NEURAL NETWORKS; PROBLEM SOLVING;

QUANTITATIVE STRUCTURE RETENTION RELATIONSHIPS (QSRR); REVERSED PHASE LIQUID CHROMATOGRAPHY; TREE BASED MODELS;

CHROMATOGRAPHIC ANALYSIS;

ARTIFICIAL NEURAL NETWORK; COMPUTER PROGRAM; DECISION TREE; GENETIC ALGORITHM; MATHEMATICAL MODEL; PARTIAL LEAST SQUARES REGRESSION; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; REVERSED PHASE LIQUID CHROMATOGRAPHY; REVIEW; STOCHASTIC MODEL;

CHROMATOGRAPHY, LIQUID; HUMANS; LINEAR MODELS; MODELS, CHEMICAL; NEURAL NETWORKS (COMPUTER); QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; SOFTWARE;

EID: 35148845632     PISSN: 00032670     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aca.2007.09.014     Document Type: Review

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