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J Pathol. 2001 Sep;195(1):53-65.

Analysing gene expression data from DNA microarrays to identify candidate genes.

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1
Department of Bioinformatics, Genentech, Inc., South San Francisco, CA 94080, USA. twu@gene.com

Abstract

Microarray data analysis can be divided into two tasks: grouping of genes to discover broad patterns of biological behaviour, and filtering of genes to identify specific genes of interest. Whereas the gene-grouping task is largely addressed by cluster analysis, the gene-filtering task relies primarily on hypothesis testing. This review article surveys analytical methods for the gene-filtering task. Various types of data analysis are discussed for four basic types of experimental protocols: a comparison of two biological samples; a comparison of two biological conditions; each represented by a set of replicate samples; a comparison of multiple biological conditions; and analysis of covariate information.

[Indexed for MEDLINE]

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