Cited by 16,184Gene expression and cancer classificationBioinformatics and Genomic NetworksFungal and yeast genetics research

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Cluster analysis and display of genome-wide expression patterns

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Eisen, Michael B., Spellman, Paul T., Brown, Patrick O., Botstein, David·1998·Proceedings of the National Academy of Sciences

DOI 10.1073/pnas.95.25.14863PMC PMC24541

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Abstract

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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Authors: Eisen, M. B., Spellman, P. T., Brown, P. O., & Botstein, D.
Affiliations: Howard Hughes Medical Institute (US)
Corresponding author: Botstein, David
ORCID: Eisen, Michael B.
Spellman, Paul T.
Brown, Patrick O.
Botstein, David
Venue: Proceedings of the National Academy of Sciences
Publisher: National Academy of Sciences
Published: 1998-12-08
Volume: 95
Issue: 25
Pages: 14863-14868
ISSN: 0027-8424 (ISSN-L)
1091-6490
DOI: 10.1073/pnas.95.25.14863
PMC: PMC24541
OpenAlex: W2150926065
Cited by: 16,184
References: 0
Citations by year: 2026: 115 · 2025: 129 · 2024: 164 · 2023: 251 · 2022: 230 · 2021: 264 · 2020: 318 · 2019: 366 · 2018: 408 · 2017: 428 · 2016: 538 · 2015: 588 · 2014: 665 · 2013: 692 · 2012: 763
FWCI: 73.93
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Locations: Proceedings of the National Academy of Sciences (publishedVersion)
PubMed Central (publishedVersion)
PubMed (publishedVersion)
Funders: Howard Hughes Medical Institute
Alfred P. Sloan Foundation
National Institutes of Health
National Human Genome Research Institute (R01HG000983)
National Eye Institute
National Cancer Institute (CA46406, R01CA077097)
National Institute of General Medical Sciences (R37GM046406, R01GM046406)
Topics: Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene expression and cancer classification
Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Fungal and yeast genetics research
Keywords: gene expression clustering, microarray hybridization, gene co-expression, Saccharomyces cerevisiae, human gene expression, gene function prediction, gene function similarity
MeSH terms: Multigene Family, Humans, Saccharomyces cerevisiae, Gene Expression, Genome, Human, Cluster Analysis, Genome, Fungal

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