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Volumn 646, Issue 1-2, 2009, Pages 30-38
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A segmented principal component analysis-regression approach to quantitative structure-activity relationship modeling
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Author keywords
Aqueous toxicity; Principal component regression; Quantitative structure activity relationship; Segmented
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Indexed keywords
ALIPHATIC COMPOUND;
AQUEOUS TOXICITY;
BIOLOGICAL ACTIVITIES;
CORRELATION ANALYSIS;
DATA SETS;
DESCRIPTORS;
EIGENVECTORS;
MATRIX;
PRINCIPAL COMPONENT REGRESSION;
PRINCIPAL COMPONENTS;
QSAR STUDIES;
QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP;
QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP MODELING;
REDUNDANT INFORMATIONS;
SEGMENTED;
SELECTION OF VARIABLES;
BIOACTIVITY;
REGRESSION ANALYSIS;
SULFUR COMPOUNDS;
TOXICITY;
PRINCIPAL COMPONENT ANALYSIS;
ALIPHATIC COMPOUND;
ARTICLE;
CONTROLLED STUDY;
DATA EXTRACTION;
ECOTOXICOLOGY;
INTERMETHOD COMPARISON;
LINEAR REGRESSION ANALYSIS;
NONHUMAN;
PREDICTION;
PRINCIPAL COMPONENT ANALYSIS;
PRIORITY JOURNAL;
QUANTITATIVE STRUCTURE ACTIVITY RELATION;
TETRAHYMENA PYRIFORMIS;
ALGORITHMS;
MODELS, CHEMICAL;
ORGANIC CHEMICALS;
PRINCIPAL COMPONENT ANALYSIS;
QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP;
REGRESSION ANALYSIS;
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EID: 66449087108
PISSN: 00032670
EISSN: 18734324
Source Type: Journal
DOI: 10.1016/j.aca.2009.05.003 Document Type: Article |
Times cited : (18)
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References (42)
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