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Abstract:
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Before conducting a microarray experiment, one important issue that needs to be decided is the number of arrays required in order for the results to be statistically interpretable. Microarray experiments often involve hundreds or thousands of genes; in a typical experiment, only a fraction of genes is expected to be differentially expressed, in addition, the measured intensities among different genes often are correlated. Many sample size calculation methods in microarray experiments have been proposed. Most methods assumed that the genes are independent and have equal variance. This study presents an approach using pilot data to estimate the variance and correlation structure for sample size calculation. The sample sizes needed for a two-sample test are computed; Monte Carlo simulation results will be reported.
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