A bayes regression approach to array-CGH data

Chi Chung Wen; Yuh Jenn Wu; Yung Hsiang Huang; Wei Chen Chen; Shu Chen Liu; Sheng Shih Jiang; Jyh Lyh Juang; Chung Yen Lin; Wen Tsen Fang; Agnes Hsiung Chao; I. Shou Chang

doi:10.2202/1544-6115.1149

A bayes regression approach to array-CGH data

Chi Chung Wen, Yuh Jenn Wu, Yung Hsiang Huang, Wei Chen Chen, Shu Chen Liu, Sheng Shih Jiang, Jyh Lyh Juang, Chung Yen Lin, Wen Tsen Fang, Agnes Hsiung Chao, I. Shou Chang

生醫科學與工程學系

研究成果: 雜誌貢獻 › 回顧評介論文 › 同行評審

8 引文斯高帕斯（Scopus）

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.

原文	???core.languages.en_GB???
頁（從 - 到）	i-20
期刊	Statistical Applications in Genetics and Molecular Biology
卷	5
發行號	1
DOIs	https://doi.org/10.2202/1544-6115.1149
出版狀態	已出版 - 2006

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10.2202/1544-6115.1149

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AU - Wen, Chi Chung

AU - Wu, Yuh Jenn

AU - Huang, Yung Hsiang

AU - Chen, Wei Chen

AU - Liu, Shu Chen

AU - Jiang, Sheng Shih

AU - Juang, Jyh Lyh

AU - Lin, Chung Yen

AU - Fang, Wen Tsen

AU - Chao, Agnes Hsiung

AU - Chang, I. Shou

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N2 - 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.

AB - 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.

KW - Change point problem

KW - Comparative genomic hybridization

KW - DNA copy number imbalance

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A bayes regression approach to array-CGH data

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