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Multivariate exploratory tools for microarray data analysis.

Published in Biostatistics (Oxford, England) • Oct 1, 2003
NobleIDNI9P47W77R81S08
Authors:
Aniko Szabo
,
Kenneth Boucher
,
David Jones

Abstract

The ultimate success of microarray technology in basic and applied biological sciences depends critically on the development of statistical methods for gene expression data analysis. The most widely used tests for differential expression of genes are essentially univariate. Such tests disregard the ...

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