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Correction of Copy Number Variation Data Using Principal Component Analysis
Copy number variation (CNV) detection using SNP array data is challenging due to the low signal-to-noise ratio. In this study, we propose a principal component analysis (PCA) based correction to eliminate variance in CNV data induced by potential confounding factors. Simulations show a substantial i...
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| Gepubliceerd in: | IEEE Int Conf Bioinform Biomed Workshops |
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| Hoofdauteurs: | , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2011
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6353609/ https://ncbi.nlm.nih.gov/pubmed/30714045 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/BIBMW.2010.5703928 |
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