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Statistical tests for differential expression in cDNA microarray experiments
Open accessAbstract
Extracting biological information from microarray data requires appropriate statistical methods. The simplest statistical method for detecting differential expression is the t test, which can be used to compare two conditions when there is replication of samples. With more than two conditions, analysis of variance (ANOVA) can be used, and the mixed ANOVA model is a general and powerful approach for microarray experiments with multiple factors and/or several sources of variation.
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Cites
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The control of the false discovery rate in multiple testing under dependency
Benjamini, Y., & Yekutieli, D. (2001) · The Annals of Statistics · doi:10.1214/aos/1013699998 · Cited by 10,490
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Variation in gene expression within and among natural populations
Oleksiak, M. F., Churchill, G. A., & Crawford, D. L. (2002) · Nature Genetics · doi:10.1038/ng983 · Cited by 736
Cited by
Smyth, G. K. (2004) · Statistical Applications in Genetics and Molecular Biology · doi:10.2202/1544-6115.1027 · Cited by 11,829
Kukurba, K. R., & Montgomery, S. B. (2015) · Cold Spring Harbor Protocols · doi:10.1101/pdb.top084970 · Cited by 924
Statistical strategies for avoiding false discoveries in metabolomics and related experiments
Broadhurst, D. I., & Kell, D. B. (2007) · Metabolomics · doi:10.1007/s11306-006-0037-z · Cited by 817
VolcaNoseR is a web app for creating, exploring, labeling and sharing volcano plots
Goedhart, J., & Luijsterburg, M. S. (2020) · Scientific Reports · doi:10.1038/s41598-020-76603-3 · Cited by 709
Validating internal controls for quantitative plant gene expression studies
Brunner, A. M., Yakovlev, I. A., & Strauss, S. H. (2004) · BMC Plant Biology · doi:10.1186/1471-2229-4-14 · Cited by 571
Metadata
- Authors
- Cui, X., & Churchill, G. A.
- Venue
- Genome Biology
- Published
- 2003-04
- Volume
- 4
- Issue
- 4
- Pages
- 210-210
- ISSN
- 1465-6906 (ISSN-L)
- 1474-760X
- OpenAlex
- W2133210805
- Cited by
- 896
- References
- 4
- FWCI
- 17.80
- Type
- journal article
- Language
- en
- Open access
- gold
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