A combinatorial approach to the variable selection in multiple linear regression: Analysis of Selwood et al. data set - A case study

QSAR and Combinatorial Science

Volumn 22, Issue 6, 2003, Pages 583-595

  Prabhakar, Yenamandra S ^a  

^a CENTRAL DRUG RESEARCH INSTITUTE   (India)

Author keywords

Antifilarial activity; Antimycin A1 analogues; Combinatorial approach; Regression analysis; Variable selection

Indexed keywords

ANTIFILARIAL ACTIVITY; ANTIMYCIN; ANTIMYCIN A1 ANALOG; COMBINATORIAL APPROACH; DATA SET; DESCRIPTORS; DIVERGENTS; MULTIPLE LINEAR REGRESSION ANALYSES (MLRA); MULTIPLE LINEAR REGRESSIONS; VARIABLES SELECTIONS;

MULTIPLE LINEAR REGRESSION;

ANTIFILARIAL AGENT; ANTIMYCIN A1;

ALGORITHM; ARTICLE; CALCULATION; CHEMICAL STRUCTURE; COMBINATORIAL CHEMISTRY; CORRELATION COEFFICIENT; DATA ANALYSIS; MATHEMATICAL ANALYSIS; MODEL; MULTIPLE REGRESSION; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; QUANTITATIVE STRUCTURE ACTIVITY RELATION; SIMULATION; STRUCTURE ANALYSIS;

EID: 0042970262     PISSN: 1611020X     EISSN: None     Source Type: Journal    
DOI: 10.1002/qsar.200330814     Document Type: Article

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