QSPR models for half-wave reduction potential of steroids: A comparative study between feature selection and feature extraction from subsets of or entire set of descriptors

Analytica Chimica Acta

Volumn 634, Issue 1, 2009, Pages 27-35

  Hemmateenejad, Bahram ^a,b   Yazdani, Mahdieh ^a  

^a SHIRAZ UNIVERSITY   (Iran)

^b SHIRAZ UNIVERSITY OF MEDICAL SCIENCES   (Iran)

Author keywords

Electrochemistry; Feature extraction; Feature selection; Quantitative structure property relationship; Reduction potential; Steroid

Indexed keywords

COMPARATIVE STUDIES; CORRELATION COEFFICIENTS; CROSS VALIDATIONS; DATA SETS; DESCRIPTORS; DO-MAINS; FEATURE SELECTION; IN PLANTS; MLR ANALYSES; MULTIPLE LINEAR REGRESSIONS; PCR ANALYSIS; PREDICTOR VARIABLES; PRINCIPAL COMPONENTS; PRINCIPLE COMPONENT REGRESSIONS; QSPR MODELS; QUANTITATIVE STRUCTURE-PROPERTY RELATIONSHIP; REDUCTION POTENTIAL; STEROID; TEST SAMPLES;

ANIMALS; CORRELATION METHODS; COSMIC RAYS; ELECTROCHEMISTRY; ELECTROLYSIS; LIPIDS; PRINCIPAL COMPONENT ANALYSIS; REDUCTION; SULFUR COMPOUNDS;

FEATURE EXTRACTION;

LINEAR MODELS; MODELS, BIOLOGICAL; MULTIVARIATE ANALYSIS; OXIDATION-REDUCTION; PRINCIPAL COMPONENT ANALYSIS; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP; STEROIDS;

ANIMALIA; FUNGI;

EID: 58149498317     PISSN: 00032670     EISSN: 18734324     Source Type: Journal    
DOI: 10.1016/j.aca.2008.11.062     Document Type: Article

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