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An Optimization Framework for Unsupervised Identification of Rare Copy Number Variation from SNP Array Data

Overview
Journal Genome Biol
Specialties Biology
Genetics
Date 2009 Oct 24
PMID 19849861
Citations 14
Authors
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Abstract

Copy number variants (CNVs) have roles in human disease, and DNA microarrays are important tools for identifying them. In this paper, we frame CNV identification as an objective function optimization problem. We apply our method to data from hundreds of samples, and demonstrate its ability to detect CNVs at a high level of sensitivity without sacrificing specificity. Its performance compares favorably with currently available methods and it reveals previously unreported gains and losses.

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