Please use this identifier to cite or link to this item: https://doi.org/10.1093/bioinformatics/btr162
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dc.titleMulti-platform segmentation for joint detection of copy number variants
dc.contributor.authorTeo, S.M.
dc.contributor.authorPawitan, Y.
dc.contributor.authorKumar, V.
dc.contributor.authorThalamuthu, A.
dc.contributor.authorSeielstad, M.
dc.contributor.authorChia, K.S.
dc.contributor.authorSalim, A.
dc.date.accessioned2014-11-26T07:46:17Z
dc.date.available2014-11-26T07:46:17Z
dc.date.issued2011-06
dc.identifier.citationTeo, S.M., Pawitan, Y., Kumar, V., Thalamuthu, A., Seielstad, M., Chia, K.S., Salim, A. (2011-06). Multi-platform segmentation for joint detection of copy number variants. Bioinformatics 27 (11) : 1555-1561. ScholarBank@NUS Repository. https://doi.org/10.1093/bioinformatics/btr162
dc.identifier.issn13674803
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/109478
dc.description.abstractMotivation: With the expansion of whole-genome studies, there is rapid evolution of genotyping platforms. This leads to practical issues such as upgrading of genotyping equipment which often results in research groups having data from different platforms for the same samples. While having more data can potentially yield more accurate copy-number estimates, combining such data is not straightforward as different platforms show different degrees of attenuation of the true copy-number or different noise characteristics and marker panels. Currently, there is still a relative lack of procedures for combining information from different platforms. Results: We develop a method, called MPSS, based on a correlated random-effect model for the unobserved patterns and extend the robust smooth segmentation approach to the multiple-platform scenario. We also propose an objective criterion for discrete segmentation required for downstream analyses. For each identified segment, the software reports a P-value to indicate the likelihood of the segment being a true CNV. From the analyses of real and simulated data, we show that MPSS has better operating characteristics when compared to single-platform methods, and have substantially higher sensitivity compared to an existing multiplatform method. © The Author 2011. Published by Oxford University Press. All rights reserved.
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentEPIDEMIOLOGY & PUBLIC HEALTH
dc.contributor.departmentSTATISTICS & APPLIED PROBABILITY
dc.description.doi10.1093/bioinformatics/btr162
dc.description.sourcetitleBioinformatics
dc.description.volume27
dc.description.issue11
dc.description.page1555-1561
dc.description.codenBOINF
dc.identifier.isiut000291062400015
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