Research article
Sample size for detecting differentially expressed genes in microarray experiments
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* Corresponding author: Roger E Bumgarner rogerb@u.washington.edu
1 Department of Microbiology, University of Washington, Seattle, WA 98195, USA
2 Department of Pathology, University of Washington, Seattle, WA 98195, USA
BMC Genomics 2004, 5:87 doi:10.1186/1471-2164-5-87
Published: 8 November 2004Additional 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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