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Sample size for gene expression microarray experiments

2004; Oxford University Press; Volume: 21; Issue: 8 Linguagem: Inglês

10.1093/bioinformatics/bti162

1367-4811

Chen‐An Tsai, Shuu‐Jiun Wang, D.-T. Chen, J J Chen,

Statistical Methods in Clinical Trials

Motivation: Microarray experiments often involve hundreds or thousands of genes. In a typical experiment, only a fraction of genes are expected to be differentially expressed; in addition, the measured intensities among different genes may be correlated. Depending on the experimental objectives, sample size calculations can be based on one of the three specified measures: sensitivity, true discovery and accuracy rates. The sample size problem is formulated as: the number of arrays needed in order to achieve the desired fraction of the specified measure at the desired family-wise power at the given type I error and (standardized) effect size.