A Bayesian Analysis for Identifying DNA Copy Number Variations Using a Compound Poisson Process

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A Bayesian Analysis for Identifying DNA Copy Number Variations Using a Compound Poisson Process

Please use this identifier to cite or link to this item: http://dx.doi.org/10.1155/2010/268513

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dc.contributor.author Chen, Jie
dc.contributor.author Yiğiter, Ayten
dc.contributor.author Wang, Yu-Ping
dc.contributor.author Deng, Hong-Wen
dc.date.accessioned 2012-07-26T05:33:15Z
dc.date.available 2012-07-26T05:33:15Z
dc.date.issued 2010-08-17
dc.identifier.citation EURASIP Journal on Bioinformatics and Systems Biology. 2010 Aug 17;2010(1):268513
dc.identifier.uri http://dx.doi.org/10.1155/2010/268513
dc.identifier.uri http://hdl.handle.net/10355/14799
dc.description.abstract To study chromosomal aberrations that may lead to cancer formation or genetic diseases, the array-based Comparative Genomic Hybridization (aCGH) technique is often used for detecting DNA copy number variants (CNVs). Various methods have been developed for gaining CNVs information based on aCGH data. However, most of these methods make use of the log-intensity ratios in aCGH data without taking advantage of other information such as the DNA probe (e.g., biomarker) positions/distances contained in the data. Motivated by the specific features of aCGH data, we developed a novel method that takes into account the estimation of a change point or locus of the CNV in aCGH data with its associated biomarker position on the chromosome using a compound Poisson process. We used a Bayesian approach to derive the posterior probability for the estimation of the CNV locus. To detect loci of multiple CNVs in the data, a sliding window process combined with our derived Bayesian posterior probability was proposed. To evaluate the performance of the method in the estimation of the CNV locus, we first performed simulation studies. Finally, we applied our approach to real data from aCGH experiments, demonstrating its applicability.
dc.title A Bayesian Analysis for Identifying DNA Copy Number Variations Using a Compound Poisson Process en
dc.type Journal Article
dc.date.updated 2012-07-26T05:33:15Z
dc.description.version Peer Reviewed
dc.language.rfc3066 en
dc.rights.holder Jie Chen et al.; licensee BioMed Central Ltd.


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