Achieving robust somatic mutation detection with deep learning models derived from reference data sets of a cancer sample

BACKGROUND: Accurate detection of somatic mutations is challenging but critical in understanding cancer formation, progression, and treatment. We recently proposed NeuSomatic, the first deep convolutional neural network-based somatic mutation detection approach, and demonstrated performance advantag...

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Detalles Bibliográficos
Autores principales: Sahraeian, Sayed Mohammad Ebrahim, Fang, Li Tai, Karagiannis, Konstantinos, Moos, Malcolm, Smith, Sean, Santana-Quintero, Luis, Xiao, Chunlin, Colgan, Michael, Hong, Huixiao, Mohiyuddin, Marghoob, Xiao, Wenming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8740374/
https://www.ncbi.nlm.nih.gov/pubmed/34996510
http://dx.doi.org/10.1186/s13059-021-02592-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8740374/
https://www.ncbi.nlm.nih.gov/pubmed/34996510
http://dx.doi.org/10.1186/s13059-021-02592-9

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