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RankProd: a bioconductor package for detecting differentially expressed genes in meta-analysis
Open accessAbstract
Summary: While meta-analysis provides a powerful tool for analyzing microarray experiments by combining data from multiple studies, it presents unique computational challenges. The Bioconductor package RankProd provides a new and intuitive tool for this purpose in detecting differentially expressed genes under two experimental conditions. The package modifies and extends the rank product method proposed by Breitling et al., [(2004)FEBS Lett., 573, 83–92] to integrate multiple microarray studies from different laboratories and/or platforms. It offers several advantages over t-test based methods and accepts pre-processed expression datasets produced from a wide variety of platforms. The significance of the detection is assessed by a non-parametric permutation test, and the associated P-value and false discovery rate (FDR) are included in the output alongside the genes that are detected by user-defined criteria. A visualization plot is provided to view actual expression levels for each gene with estimated significance measurements. Availability: RankProd is available at Bioconductor . A web-based interface will soon be available at Contact: fhong@salk.edu Supplementary information: Supplementary data are available at Bioinformatics online.
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Smyth, G. K. (2004) · Statistical Applications in Genetics and Molecular Biology · doi:10.2202/1544-6115.1027 · Cited by 11,829
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Metadata
- Authors
- Hong, F., Breitling, R., McEntee, C. W., Wittner, B. S., Nemhauser, J. L., & Chory, J.
- Venue
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Published
- 2006-09-18
- Volume
- 22
- Issue
- 22
- Pages
- 2825-2827
- ISSN
- 1367-4803 (ISSN-L)
- 1367-4811
- OpenAlex
- W2172215633
- Cited by
- 752
- References
- 2
- FWCI
- 7.00
- Type
- journal article
- Language
- en
- Open access
- green
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