Cluster analysis and display of genome-wide expression patterns

Proceedings of the National Academy of Sciences of the United States of America - Tập 95 Số 25 - Trang 14863-14868 - 1998
Michael B. Eisen1, Paul T. Spellman1, Patrick O. Brown1, David Botstein1
1Department of Genetics and Department of Biochemistry and Howard Hughes Medical Institute, Stanford University School of Medicine, 300 Pasteur Avenue, Stanford, CA 94305

Tóm tắt

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.

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Proceedings of the National Academy of Sciences of the United States of America

Tập 95 Số 25

14863-14868

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