Electronic Resource
Wen, Chi-Chung
;
Wu, Yuh-Jenn
;
Huang, Yung-Hsiang
;
[et al.]
Chen, Wei-Chen
;
Liu, Shu-Chen
;
Jiang, Shih Sheng
;
Juang, Jyh-Lyh
;
Lin, Chung-Yen
;
Fang, Wen-Tsen
;
Hsiung, Chao Agnes
;
Chang, I-Shou
Berkeley, Calif.
:
Berkeley Electronic Press (now: De Gruyter)
Statistical applications in genetics and molecular biology
5.2006, 1, art3
ISSN:
1544-6115
Source:
Berkeley Electronic Press Academic Journals
Topics:
Biology
Notes:
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.
Type of Medium:
Electronic Resource
URL:
http://www.bepress.com/sagmb/vol5/iss1/art3
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