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Open Access Highly Accessed Research article

Sample size for detecting differentially expressed genes in microarray experiments

Caimiao Wei1, Jiangning Li2 and Roger E Bumgarner1*

Author Affiliations

1 Department of Microbiology, University of Washington, Seattle, WA 98195, USA

2 Department of Pathology, University of Washington, Seattle, WA 98195, USA

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BMC Genomics 2004, 5:87  doi:10.1186/1471-2164-5-87

Published: 8 November 2004

Additional files

Additional File 1:

Sample size required to detect a 1.5-, 2-, and 4-fold changes of expression level for the 90%, 75%, 50%, and 25% least variable genes for a given settings of false positive rates (α) and power (1-β). This additional file shows the estimated sample size to a 1.5-, 2, and 4-fold changes of expression level for the 90%, 75%, 50%, and 25% least variable genes for a given settings of false positive rates (α) and power (1-β) for all of the data sets referred in Table 1.

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