Literature DB >> 11568891

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

T D Wu1.   

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. Copyright 2001 John Wiley & Sons, Ltd.

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Year:  2001        PMID： 11568891     DOI： 10.1002/1096-9896(200109)195:1<53::AID-PATH891>3.0.CO;2-H

Source DB:  PubMed          Journal:  J Pathol        ISSN： 0022-3417            Impact factor:   7.996


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