title: A Bayes regression approach to array-CGH data.
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.
authors.affiliation: National Health Research Institutes, Taiwan.
authors.forename: Chi-Chung
authors.initials: CC
authors.lastname: Wen
authors.forename: Yuh-Jenn
authors.initials: YJ
authors.lastname: Wu
authors.forename: Yung-Hsiang
authors.initials: YH
authors.lastname: Huang
authors.forename: Wei-Chen
authors.initials: WC
authors.lastname: Chen
authors.forename: Shu-Chen
authors.initials: SC
authors.lastname: Liu
authors.forename: Shih Sheng
authors.initials: SS
authors.lastname: Jiang
authors.forename: Jyh-Lyh
authors.initials: JL
authors.lastname: Juang
authors.forename: Chung-Yen
authors.initials: CY
authors.lastname: Lin
authors.forename: Wen-Tsen
authors.initials: WT
authors.lastname: Fang
authors.forename: Chao Agnes
authors.initials: CA
authors.lastname: Hsiung
authors.forename: I-Shou
authors.initials: IS
authors.lastname: Chang
mesh_terms: D001499:Bayes Theorem; D002869:Chromosome Aberrations; D004247:DNA / Q000032:analysis; D005456:Fluorescent Dyes; D023281:Genomics / Q000379:methods; D006801:Humans; D015233:Models, Statistical; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D016133:Polymerase Chain Reaction; D012044:Regression Analysis
chemical_list: D005456:Fluorescent Dyes; D004247:DNA