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Detecting differential expression in microarray data: comparison of optimal procedures

BACKGROUND: Many procedures for finding differentially expressed genes in microarray data are based on classical or modified t-statistics. Due to multiple testing considerations, the false discovery rate (FDR) is the key tool for assessing the significance of these test statistics. Two recent papers...

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書誌詳細
主要な著者: Perelman, Elena, Ploner, Alexander, Calza, Stefano, Pawitan, Yudi
フォーマット: Artigo
言語:Inglês
出版事項: BioMed Central 2007
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC1797811/
https://ncbi.nlm.nih.gov/pubmed/17257426
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-8-28
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