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Briefings in Bioinformatics 2001 2(4):350-362; doi:10.1093/bib/2.4.350
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© Henry Stewart Publications

Analysis of large-scale gene expression data

Gavin Sherlock
Director of the Stanford Microarray Datebase at Stanford University, and also author of XCluster. His interests include the modelling and storage of microarray data, as well as its analysis.


Gavin Sherlock, Department of Genetics, Stanford University Medical Center, Stanford, CA 94306-5120, USA Tel: +1 (650) 498 6012 Fax: +1 (650) 723 7016 E-mail: sherlock{at}genome.stanford.edu

DNA microarray technology has resulted in the generation of large complex data sets, such that the bottleneck in biological investigation has shifted from data generation, to data analysis. This review discusses some of the algorithms and tools for the analysis and organisation of microarray expression data, including clustering methods, partitioning methods, and methods for correlating expression data to other biological data.

Keywords: microarray, clustering, analysis


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