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On the Application of Principal Component and Factor Analysis in QSAR Work

Dove, Stefan, Kühne, R. and Franke, R. (1985) On the Application of Principal Component and Factor Analysis in QSAR Work. In: Tichy, M., (ed.) QSAR in Toxicology and Xenobiochemistry - Proceedings of a Symposium. Pharmacochem. Library, 8. Elsevier, Amsterdam, pp. 277-286.

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Both principal component (PCA) and factor anal. (FA) reduce the dimensionality of multivariate biol. data of drugs by extg. uncorrelated "inner variables" related to the basis mechanisms of action. Owing to important model differences between PCA and FA, the choice of the method to be used depends on the type and the correlation structure of the data under consideration. Two examples, the 1st ...


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Item type:Book section
Institutions:Chemistry and Pharmacy > Institute of Pharmacy > Pharmaceutical/Medicinal Chemistry II (Prof. Buschauer)
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Dewey Decimal Classification:500 Science > 510 Mathematics
500 Science > 570 Life sciences
500 Science > 540 Chemistry & allied sciences
Refereed:No, this document will not be refereed
Created at the University of Regensburg:No
Item ID:5423
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