svBreak: A New Approach for the Detection of Structural Variant Breakpoints Based on Convolutional Neural Network

Structural variation (SV) is an important type of genome variation and confers susceptibility to human cancer diseases. Systematic analysis of SVs has become a crucial step for the exploration of mechanisms and precision diagnosis of cancers. The central point is how to accurately detect SV breakpoi...

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Detalles Bibliográficos
Autores principales: Wang, Shaoqiang, Li, Jie, Haque, A K Alvi, Zhao, Haiyong, Yang, Liying, Yuan, Xiguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8957449/
https://www.ncbi.nlm.nih.gov/pubmed/35345526
http://dx.doi.org/10.1155/2022/7196040

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8957449/
https://www.ncbi.nlm.nih.gov/pubmed/35345526
http://dx.doi.org/10.1155/2022/7196040

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