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An optimization framework for unsupervised identification of rare copy number variation from SNP array data
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...
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| Главные авторы: | , , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
BioMed Central
2009
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2784334/ https://ncbi.nlm.nih.gov/pubmed/19849861 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/gb-2009-10-10-r119 |
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