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CNNdel: Calling Structural Variations on Low Coverage Data Based on Convolutional Neural Networks
Many structural variations (SVs) detection methods have been proposed due to the popularization of next-generation sequencing (NGS). These SV calling methods use different SV-property-dependent features; however, they all suffer from poor accuracy when running on low coverage sequences. The union of...
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| Publicado no: | Biomed Res Int |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Hindawi
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5467383/ https://ncbi.nlm.nih.gov/pubmed/28630866 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2017/6375059 |
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