Author
Listed:
- Wen Chi-Chung
(National Health Research Institutes, Taiwan)
- Wu Yuh-Jenn
(National Health Research Institutes, Taiwan)
- Huang Yung-Hsiang
(National Health Research Institutes, Taiwan)
- Chen Wei-Chen
(National Health Research Institutes, Taiwan)
- Liu Shu-Chen
(National Health Research Institutes, Taiwan)
- Jiang Shih Sheng
(National Health Research Institutes, Taiwan)
- Juang Jyh-Lyh
(National Health Research Institutes, Taiwan)
- Lin Chung-Yen
(National Health Research Institutes, Taiwan)
- Fang Wen-Tsen
(National Health Research Institutes, Taiwan)
- Hsiung Chao Agnes
(National Health Reserach Institutes, Taiwan)
- Chang I-Shou
(National Health Research Institutes, Taiwan)
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.
Suggested Citation
Wen Chi-Chung & Wu Yuh-Jenn & Huang Yung-Hsiang & Chen Wei-Chen & Liu Shu-Chen & Jiang Shih Sheng & Juang Jyh-Lyh & Lin Chung-Yen & Fang Wen-Tsen & Hsiung Chao Agnes & Chang I-Shou, 2006.
"A Bayes Regression Approach to Array-CGH Data,"
Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 5(1), pages 1-22, February.
Handle:
RePEc:bpj:sagmbi:v:5:y:2006:i:1:n:3
DOI: 10.2202/1544-6115.1149
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bpj:sagmbi:v:5:y:2006:i:1:n:3. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.degruyter.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.