淡江大學機構典藏:Item 987654321/58678
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    题名: A Bayes regression approach to array-CGH data
    作者: 溫啟仲;Wu, Y. J.;Huang, Y. H.;Chen, W. C.;Liu, S. C.;Jiang, S. S.
    贡献者: 淡江大學數學學系
    日期: 2006-05
    上传时间: 2011-10-01 21:02:39 (UTC+8)
    摘要: This paper develops a Bayes regression model having change points for the analysis of array-CGH data by utilizing not only the underlying spatial structure of the genomic alterations but also the observation that the noise associated with the ratio of the fluorescence intensities is bigger when the intensities get smaller. We show that this Bayes regression approach is particularly suitable for the analysis of cDNA microarray-CGH data, which are generally noisier than those using genomic clones. A simulation study and a real data analysis are included to illustrate this approach.
    關聯: Statistical Applications in Genetics and Molecular Biology 5, pp.1-20
    DOI: 10.2202/1544-6115.1149
    显示于类别:[應用數學與數據科學學系] 期刊論文

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