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However, no one statistic is universally optimal and there is seldom any basis or guidance that can direct toward a particular statistic of choice.<\/jats:p><jats:p>Results: Our new approach, which addresses both ranking and selection of differentially expressed genes, integrates differing statistics via a distance synthesis scheme. Using a set of (Affymetrix) spike-in datasets, in which differentially expressed genes are known, we demonstrate that our method compares favorably with the best individual statistics, while achieving robustness properties lacked by the individual statistics. We further evaluate performance on one other microarray study.<\/jats:p><jats:p>Availability: The approach is implemented in an R package called DEDS, which is available for download from the Bioconductor website (http:\/\/www.bioconductor.org\/).<\/jats:p><jats:p>Contact: \u00a0mark@biostat.ucsf.edu<\/jats:p>","DOI":"10.1093\/bioinformatics\/bti108","type":"journal-article","created":{"date-parts":[[2004,10,29]],"date-time":"2004-10-29T00:51:45Z","timestamp":1099011105000},"page":"1084-1093","source":"Crossref","is-referenced-by-count":70,"title":["Identifying differentially expressed genes from microarray experiments via statistic synthesis"],"prefix":"10.1093","volume":"21","author":[{"given":"Yee Hwa","family":"Yang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuanyuan","family":"Xiao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mark R.","family":"Segal","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2004,10,28]]},"reference":[{"key":"2023013107281337100_B1","doi-asserted-by":"crossref","unstructured":"Allison, D.B., Gadbury, G.L., Heo, M., Fern\u00e1ndez, J.R., Lee, C.-K., Prolla, T.A., Weindruch, R. 2002A mixture model approach for the analysis of microarray gene expression data. 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