Shortcuts in genome-scale cancer pharmacology research from multivariate analysis of the National Cancer Institute gene expression database☆☆Supplementary information is available on Elsevier’s World Wide Web site (http://www.elsevier.nl) or from the corresponding authors.11Abbreviations: NCI, National Cancer Institute; PLS, partial least squares modelling in latent variables or projections to latent structures; SIMCA, soft independent modelling of class analogy; PCA, principal component analysis; PC, principal components; and VIP, variable importance in the projection.-Reference-Cited by-同舟云学术

Shortcuts in genome-scale cancer pharmacology research from multivariate analysis of the National Cancer Institute gene expression database☆☆Supplementary information is available on Elsevier’s World Wide Web site (http://www.elsevier.nl) or from the corresponding authors.11Abbreviations: NCI, National Cancer Institute; PLS, partial least squares modelling in latent variables or projections to latent structures; SIMCA, soft independent modelling of class analogy; PCA, principal component analysis; PC, principal components; and VIP, variable importance in the projection.

Published:2001-09 Issue:5 Volume:62 Page:547-553
ISSN:0006-2952
Container-title:Biochemical Pharmacology
language:en
Short-container-title:Biochemical Pharmacology

Author:

Musumarra Giuseppe,Condorelli Daniele F.,Scire Salvatore,Costa Alessandro S.

Publisher

Elsevier BV

Subject

Pharmacology,Biochemistry

Reference18 articles.

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3. A gene expression database for the molecular pharmacology of cancer;Scherf;Nat Genet,2000

4. SIMCA-P 8.0, User Guide and Tutorial, Umetri AB, Umeå, Sweden, 1999.

5. SIMCA;Wold;American Chemical Society Symposium Series,1977

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