The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Exploring Expression Data: Identification and Analysis of Coexpressed Genes
Open accessAbstract
Analysis procedures are needed to extract useful information from the large amount of gene expression data that is becoming available. This work describes a set of analytical tools and their application to yeast cell cycle data. The components of our approach are (1) a similarity measure that reduces the number of false positives, (2) a new clustering algorithm designed specifically for grouping gene expression patterns, and (3) an interactive graphical cluster analysis tool that allows user feedback and validation. We use the clusters generated by our algorithm to summarize genome-wide expression and to initiate supervised clustering of genes into biologically meaningful groups.
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Cites
Cluster analysis and display of genome-wide expression patterns
Eisen, M. B., Spellman, P. T., Brown, P. O., & Botstein, D. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.25.14863 · Cited by 16,184
The Jackknife, the Bootstrap and Other Resampling Plans
Efron, B. (1982) · Society for Industrial and Applied Mathematics eBooks · doi:10.1137/1.9781611970319 · Cited by 8,120
Finding Groups in Data: An Introduction to Cluster Analysis
Kaufman, L., & Rousseeuw, P. J. (1990) · Wiley Series in Probability and Statistics · doi:10.1002/9780470316801 · Cited by 7,344
Transcriptional activation by recruitment
Ptashne, M., & Gann, A. (1997) · Nature · doi:10.1038/386569a0 · Cited by 1,158 · cited 1×
“There is evidence that regulatory systems in yeast are located close to the genes they regulate (Ptashne and Gann 1997), and Cho et al. (1998) conjecture that consecutive genes on opposite strands may be controlled by one regulatory system.”
Background
Cited by
TM4: a free, open-source system for microarray data management and analysis
Saeed, A. I., Sharov, V., White, J., Li, J., Liang, W., Bhagabati, N., Braisted, J., Klapa, M., Currier, T., Thiagarajan, M., et al. (2003) · BioTechniques · doi:10.2144/03342mt01 · Cited by 4,837
Missing Value Estimation Methods for DNA Microarrays
Troyanskaya, O., Cantor, M., Sherlock, G., Brown, P., Hastie, T., Tibshirani, R., Botstein, D., & Altman, R. B. (2001) · Bioinformatics · doi:10.1093/bioinformatics/17.6.520 · Cited by 4,230
A N EW A PPROACH TO D ECODING L IFE : Systems Biology
Ideker, T., Galitski, T., & Hood, L. (2001) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev.genom.2.1.343 · Cited by 1,664
Expression Profiling Reveals Novel Pathways in the Transformation of Melanocytes to Melanomas
Hoek, K., Rimm, D. L., Williams, K. R., Zhao, H., Ariyan, S., Lin, A., Kluger, H. M., Berger, A. J., Cheng, E., Trombetta, E. S., et al. (2004) · Cancer Research · doi:10.1158/0008-5472.can-04-0731 · Cited by 448
Expression Profiling of Renal Epithelial Neoplasms
Young, A. N., Amin, M. B., Moreno, C. S., Lim, S. D., Cohen, C., Petros, J. A., Marshall, F. F., & Neish, A. S. (2001) · The American Journal of Pathology · doi:10.1016/s0002-9440(10)64120-x · Cited by 311
Metadata
- Authors
- Heyer, L. J., Kruglyak, S., & Yooseph, S.
- Venue
- Genome Research
- Publisher
- Cold Spring Harbor Laboratory
- Published
- 1999-11-01
- Volume
- 9
- Issue
- 11
- Pages
- 1106-1115
- ISSN
- 1088-9051 (ISSN-L)
- 1549-5469
- OpenAlex
- W1976208596
- Cited by
- 1,033
- References
- 4
- Type
- posted content
- Language
- en
- Open access
- bronze
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- Heyer, L. J., Kruglyak, S., & Yooseph, S. (1999). Exploring Expression Data: Identification and Analysis of Coexpressed Genes. Genome Research. https://doi.org/10.1101/gr.9.11.1106
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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