A statistical approach for array CGH data analysis

11 years 8 months ago
A statistical approach for array CGH data analysis
Background: Microarray-CGH experiments are used to detect and map chromosomal imbalances, by hybridizing targets of genomic DNA from a test and a reference sample to sequences immobilized on a slide. These probes are genomic DNA sequences (BACs) that are mapped on the genome. The signal has a spatial coherence that can be handled by specific statistical tools. Segmentation methods seem to be a natural framework for this purpose. A CGH profile can be viewed as a succession of segments that represent homogeneous regions in the genome whose BACs share the same relative copy number on average. We model a CGH profile by a random Gaussian process whose distribution parameters are affected by abrupt changes at unknown coordinates. Two major problems arise : to determine which parameters are affected by the abrupt changes (the mean and the variance, or the mean only), and the selection of the number of segments in the profile. Results: We demonstrate that existing methods for estimating the n...
Franck Picard, Stéphane Robin, Marc Laviell
Added 15 Dec 2010
Updated 15 Dec 2010
Type Journal
Year 2005
Authors Franck Picard, Stéphane Robin, Marc Lavielle, Christian Vaisse, Jean-Jacques Daudin
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