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Vol. 95, Issue 25, 14863-14868, December 8, 1998
* Department of Genetics and Contributed by David Botstein, October 13, 1998
A system of cluster analysis for genome-wide expression data from
DNA microarray hybridization is described that uses standard statistical algorithms to arrange genes according to similarity in
pattern of gene expression. The output is displayed graphically, conveying the clustering and the underlying expression data
simultaneously in a form intuitive for biologists. We have found in the
budding yeast Saccharomyces cerevisiae that clustering
gene expression data groups together efficiently genes of known similar
function, and we find a similar tendency in human data. Thus patterns
seen in genome-wide expression experiments can be interpreted as
indications of the status of cellular processes. Also, coexpression of
genes of known function with poorly characterized or novel genes may provide a simple means of gaining leads to the functions of many genes
for which information is not available currently.
Copyright © 1998 by The National Academy of Sciences 0027-8424/98/9514863-6$2.00/0
Genetics
Cluster analysis and display of genome-wide expression patterns
, and
Department of Biochemistry and
Howard Hughes Medical Institute, Stanford University School of
Medicine, 300 Pasteur Avenue, Stanford, CA 94305
To whom reprint requests should be addressed. e-mail:
botstein{at}genome.stanford.edu.
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