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Internal test sets studies in a group of antimalarials

Topological indices have been applied to build QSAR models for a set of 20 antimalarial cyclic peroxy cetals. In order to evaluate the reliability of the proposed linear models leave-n-out and Internal Test Sets (ITS) approaches have been considered. The proposed procedure resulted in a robust and consensued prediction equation and here it is shown why it is superior to the employed standard cross-validation algorithms involving multilinear regression models

© International Journal of Molecular Sciences, vol. 7, núm. 10, p. 456-468

MDPI (Multidisciplinary Digital Publishing Institute)

Autor: Julián Ortiz, Jesús Vicente de
Besalú i Llorà, Emili
Data: 2006
Resum: Topological indices have been applied to build QSAR models for a set of 20 antimalarial cyclic peroxy cetals. In order to evaluate the reliability of the proposed linear models leave-n-out and Internal Test Sets (ITS) approaches have been considered. The proposed procedure resulted in a robust and consensued prediction equation and here it is shown why it is superior to the employed standard cross-validation algorithms involving multilinear regression models
Format: application/pdf
Cita: Julián-Ortiz, J. V. de, i Besalú, E. (october 2006). Internal test sets studies in a group of antimalarials. International Journal of Molecular Sciences, 7 (10), 456-468. Recuperat 13 juliol de 2011, a http://www.mdpi.com/1422-0067/7/10/
ISSN: 1422-0067
Accés al document: http://hdl.handle.net/10256/3481
Llenguatge: eng
Editor: MDPI (Multidisciplinary Digital Publishing Institute)
Col·lecció: Reproducció digital del document publicat a: http://dx.doi.org/10.3390/i8200456
Articles publicats (D-Q)
És part de: © International Journal of Molecular Sciences, vol. 7, núm. 10, p. 456-468
Drets: Tots els drets reservats. Reproduction is permitted for noncommercial purposes
Matèria: Models lineals (Estadística)
Linear models (Statistics)
QSAR (Bioquímica)
Títol: Internal test sets studies in a group of antimalarials
Tipus: info:eu-repo/semantics/article
Repositori: DUGiDocs

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