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Analysing gene expression data from DNA microarrays to identify candidate genes

✍ Scribed by Thomas D. Wu

Publisher
John Wiley and Sons
Year
2001
Tongue
English
Weight
287 KB
Volume
195
Category
Article
ISSN
0022-3417

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✦ Synopsis

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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