國家衛生研究院 NHRI:Item 3990099045/4467
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    题名: Split-plot microarray experiments: Issues of design, power and sample size
    作者: Tsai, P;Lee, M
    贡献者: Division of Biostatistics and Bioinformatics
    摘要: This article focuses on microarray experiments with two or more factors in which treatment combinations of the factors corresponding to the samples paired together onto arrays are not completely random. A main effect of one (or more) factor(s) is confounded with arrays (the experimental blocks). This is called a split-plot microarray experiment. We utilise an analysis of variance (ANOVA) model to assess differentially expressed genes for between-array and within-array comparisons that are generic under a split-plot microarray experiment. Instead of standard t- or F-test statistics that rely on mean square errors of the ANOVA model, we use a robust method, referred to as 'a pooled percentile estimator', to identify genes that are differentially expressed across different treatment conditions. We illustrate the design and analysis of split-plot microarray experiments based on a case application described by Jin et al. A brief discussion of power and sample size for split-plot microarray experiments is also presented.
    日期: 2005
    關聯: Applied Bioinformatics. 2005;4(3):187-194.
    Link to: https://doi.org/10.2165/00822942-200504030-00003
    Cited Times(Scopus): http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=27344457150
    显示于类别:[蔡碧紋(2004-2006)] 期刊論文

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