Sample Size Calculations Based on Ranking and Selection in Microarray Experiments
Version of Record online: 3 AUG 2007
2007, The International Biometric Society
Volume 64, Issue 1, pages 217–226, March 2008
How to Cite
Matsui, S., Zeng, S., Yamanaka, T. and Shaughnessy, J. (2008), Sample Size Calculations Based on Ranking and Selection in Microarray Experiments. Biometrics, 64: 217–226. doi: 10.1111/j.1541-0420.2007.00875.x
- Issue online: 26 FEB 2008
- Version of Record online: 3 AUG 2007
- Received June 2006. Revised April 2007. Accepted May 2007.
- Gene expression;
- Sample size;
Summary We develop formulae to calculate sample sizes for ranking and selection of differentially expressed genes among different clinical subtypes or prognostic classes of disease in genome-wide screening studies with microarrays. The formulae aim to control the probability that a selected subset of genes with fixed size contains enough truly top-ranking informative genes, which can be assessed on the basis of the distribution of ordered statistics from independent genes. We provide strategies for conservative designs to cope with issues of unknown number of informative genes and unknown correlation structure across genes. Application of the formulae to a clinical study for multiple myeloma is given.