QSRR modeling for diverse drugs using different feature selection methods coupled with linear and nonlinear regressions

Journal of Chromatography B: Analytical Technologies in the Biomedical and Life Sciences

Volumn 910, Issue , 2012, Pages 84-94

  Goodarzi, Mohammad ^a   Jensen, Richard ^b   Vander Heyden, Yvan ^a  

^a VRIJE UNIVERSITEIT BRUSSEL   (Belgium)

^b ABERYSTWYTH UNIVERSITY   (United Kingdom)

Author keywords

ACO; Chromatographic retention; MLR; QSRR; Relief method; SVM

Indexed keywords

ACO; CHROMATOGRAPHIC RETENTION; MLR; QSRR; RELIEF METHOD; SVM;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BUTADIENE; CHROMATOGRAPHY; LINEAR REGRESSION;

SUPPORT VECTOR MACHINES;

WATER;

ANT COLONY OPTIMIZATION; ARTICLE; CORRELATION ANALYSIS; COST EFFECTIVENESS ANALYSIS; ELUTION; GENETIC ALGORITHM; MULTIPLE LINEAR REGRESSION ANALYSIS; PH; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; PROCESS OPTIMIZATION; QUANTITATIVE STRUCTURE RETENTION RELATIONSHIP; STRUCTURE ACTIVITY RELATION; SUPPORT VECTOR MACHINE;

ALGORITHMS; CHROMATOGRAPHY, LIQUID; MODELS, THEORETICAL; PHARMACEUTICAL PREPARATIONS; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; REGRESSION ANALYSIS;

EID: 84870238114     PISSN: 15700232     EISSN: 1873376X     Source Type: Journal    
DOI: 10.1016/j.jchromb.2012.01.012     Document Type: Article

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