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The method fits parametric models for degree of differential expression using the Expectation\u2013Maximization algorithm.<\/jats:p><jats:p>Results: The applicability of the method is illustrated with simulations and studies of a lung microarray dataset. We propose to use a small training set or published data from relevant biological settings to calculate the sample size of an experiment.<\/jats:p><jats:p>Availability: Code to implement the method in the statistical package R is available from the authors.<\/jats:p><jats:p>Contact: \u00a0jhu@mdanderson.org<\/jats:p>","DOI":"10.1093\/bioinformatics\/bti519","type":"journal-article","created":{"date-parts":[[2005,6,3]],"date-time":"2005-06-03T00:14:22Z","timestamp":1117757662000},"page":"3264-3272","source":"Crossref","is-referenced-by-count":48,"title":["Practical FDR-based sample size calculations in microarray experiments"],"prefix":"10.1093","volume":"21","author":[{"given":"Jianhua","family":"Hu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fei","family":"Zou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fred A.","family":"Wright","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2005,6,2]]},"reference":[{"key":"2023051612004445100_B1","doi-asserted-by":"crossref","unstructured":"Black, M.A. and Doerge, R.W. 2002Calculation of the minimum number of replicate spots required for detection of significant gene expression fold change in microarray experiments. 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