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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/58678


    Title: A Bayes regression approach to array-CGH data
    Authors: 溫啟仲;Wu, Y. J.;Huang, Y. H.;Chen, W. C.;Liu, S. C.;Jiang, S. S.
    Contributors: 淡江大學數學學系
    Date: 2006-05
    Issue Date: 2011-10-01 21:02:39 (UTC+8)
    Abstract: 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.
    Relation: Statistical Applications in Genetics and Molecular Biology 5, pp.1-20
    DOI: 10.2202/1544-6115.1149
    Appears in Collections:[Graduate Institute & Department of Mathematics] Journal Article

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