AIVariant: a deep learning-based somatic variant detector for highly contaminated tumor samples

The detection of somatic DNA variants in tumor samples with low tumor purity or sequencing depth remains a daunting challenge despite numerous attempts to address this problem. In this study, we constructed a substantially extended set of actual positive variants originating from a wide range of tum...

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Detalles Bibliográficos
Autores principales: Jeon, Hyeonseong, Ahn, Junhak, Na, Byunggook, Hong, Soona, Sael, Lee, Kim, Sun, Yoon, Sungroh, Baek, Daehyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10474289/
https://www.ncbi.nlm.nih.gov/pubmed/37524869
http://dx.doi.org/10.1038/s12276-023-01049-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10474289/
https://www.ncbi.nlm.nih.gov/pubmed/37524869
http://dx.doi.org/10.1038/s12276-023-01049-2

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