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Volumn 29, Issue 4, 2010, Pages 518-528

Application of partial least squares and radial basis function neural networks in multivariate imaging analysis-quantitative structure activity relationship: Study of cyclin dependent kinase 4 inhibitors

Author keywords

Cyclin dependent kinase 4 inhibitors; Multivariate imaging analysis quantitative structure activity relationship; Partial least squares; Radial basis function neural networks

Indexed keywords

2D IMAGES; CYCLIN-DEPENDENT KINASE; DATA MINING METHODS; DATA SETS; DEPENDENT VARIABLES; DEVELOPED MODEL; IMAGING ANALYSIS; MULTIVARIATE IMAGE ANALYSIS; PARTIAL LEAST SQUARES; PLS MODELS; PRINCIPAL COMPONENTS; QUANTITATIVE STRUCTURE ACTIVITY RELATIONSHIP; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIPS; RADIAL BASIS FUNCTION NEURAL NETWORKS; STATISTICAL QUALITY; VALIDATION METHODS;

EID: 78650513678     PISSN: 10933263     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jmgm.2010.10.001     Document Type: Article
Times cited : (27)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.