Accurate somatic variant detection using weakly supervised deep learning

Identification of somatic mutations in tumor samples is commonly based on statistical methods in combination with heuristic filters. Here we develop VarNet, an end-to-end deep learning approach for identification of somatic variants from aligned tumor and matched normal DNA reads. VarNet is trained...

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Detalles Bibliográficos
Autores principales: Krishnamachari, Kiran, Lu, Dylan, Swift-Scott, Alexander, Yeraliyev, Anuar, Lee, Kayla, Huang, Weitai, Leng, Sim Ngak, Skanderup, Anders Jacobsen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9307817/
https://www.ncbi.nlm.nih.gov/pubmed/35869060
http://dx.doi.org/10.1038/s41467-022-31765-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9307817/
https://www.ncbi.nlm.nih.gov/pubmed/35869060
http://dx.doi.org/10.1038/s41467-022-31765-8

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