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Multidimensional Data Representation in Medicinal Chemistry

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Chemometrics

Part of the book series: NATO ASI Series ((ASIC,volume 138))

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Abstract

Three methods of multivariate data representation are compared, namely Principal components analysis, Spectral map analysis and Factorial analysis of correspondences. It is shown that the three methods possess strong similarities. Yet the data to which they are most applicable can be very different.

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References

  • Benzécri J.-P., L’analyse des donees, Vol. II, L’analyse des correspondances, Dunod, Paris, 1973.

    Google Scholar 

  • Cooley W.W. and Lohnes P.R., Multivariate procedures for the behavioral sciences. J. Wiley, New York NY, 1962.

    Google Scholar 

  • Lewi P.J., Multivariate data analysis in industrial practice. Research Studies Press (J. Wiley ), Chichester Eng., 1982.

    Google Scholar 

  • Lewi P.J., Spectral mapping, a technique for classifying biological activity profiles of chemical compounds. Arzneim. Forsch. (Drug Res.), 26, 1295 - 1300, 1976.

    CAS  Google Scholar 

  • Niemegeers C.J.E., Pharmacology Dept., Janssen Pharmaceutica, Unpublished results, 1974.

    Google Scholar 

  • Schmutz J., Neuroleptic piperazinyl-dibenzoazepines. Arzneim. Forsch. (Drug Res.), 25, 712 - 719, 1975.

    CAS  Google Scholar 

  • Wood P.L., Charleson S.E., Lane D. and Hudgin R.L., Multiple opiate receptors: differential binding of N,}c and agonists. Neuropharmacol., 20, 1215 - 1220, 1981.

    Article  CAS  Google Scholar 

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Author information

Authors and Affiliations

  1. Research Laboratories, Janssen Pharmaceutica NV, B-2340, Beerse, Belgium

    Paul J. Lewi

Authors
  1. Paul J. Lewi
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Editor information

Editors and Affiliations

  1. Department of Chemistry, University of Washington, Seattle, Washington, USA

    Bruce R. Kowalski

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© 1984 Springer Science+Business Media Dordrecht

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Lewi, P.J. (1984). Multidimensional Data Representation in Medicinal Chemistry. In: Kowalski, B.R. (eds) Chemometrics. NATO ASI Series, vol 138. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-1026-8_13

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  • DOI: https://doi.org/10.1007/978-94-017-1026-8_13

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-8407-1

  • Online ISBN: 978-94-017-1026-8

  • eBook Packages: Springer Book Archive

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