Analysing gene expression data from DNA microarrays to identify candidate genes
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Updated: Oct 4, 2026

Bacterial Gene Expression Analysis Using Microarrays
Published on: May 28, 2007
1Department 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.
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