Correspondence factor analysis as a tool in environmental SAR and QSAR studies
Correspondence Factor Analysis (CFA) is a multivariate approach allowing the display of the rows and columns of a data matrix as points in dual low-dimensional vector spaces. The goal of this paper is to provide the key theoretical aspects of this analysis and stress its heuristic potency in environmental SAR and QSAR studies. The biplot representation can be used in eco-toxicology to perform classical SAR studies to find relationships between the structure of a pollutant and its theoretical distribution in the environment, to compare toxicity results or to generate molecular descriptors for QSAR studies.
Bibliographic Reference: Paper presented: EURO-Course on Practical Applications of QSAR in Environmental Chemistry and Toxicology, Ispra (IT), June 11-15, 1990
Availability: Available from (1) as Paper EN 35388 ORA
Record Number: 199010883 / Last updated on: 1994-12-01
Original language: en
Available languages: en