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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Detalles Bibliográficos
Autores principales: Wang, Jing, Ling, Cheng, Gao, Jingyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5467383/
https://www.ncbi.nlm.nih.gov/pubmed/28630866
http://dx.doi.org/10.1155/2017/6375059

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5467383/
https://www.ncbi.nlm.nih.gov/pubmed/28630866
http://dx.doi.org/10.1155/2017/6375059

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