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

Dove, Stefan ; Kühne, R. ; Franke, R. Tichy, M. , eds.



Abstract

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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