Deep convolutional neural networks for accurate somatic mutation detection

Accurate detection of somatic mutations is still a challenge in cancer analysis. Here we present NeuSomatic, the first convolutional neural network approach for somatic mutation detection, which significantly outperforms previous methods on different sequencing platforms, sequencing strategies, and...

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Detalles Bibliográficos
Autores principales: Sahraeian, Sayed Mohammad Ebrahim, Liu, Ruolin, Lau, Bayo, Podesta, Karl, Mohiyuddin, Marghoob, Lam, Hugo Y. K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6399298/
https://www.ncbi.nlm.nih.gov/pubmed/30833567
http://dx.doi.org/10.1038/s41467-019-09027-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6399298/
https://www.ncbi.nlm.nih.gov/pubmed/30833567
http://dx.doi.org/10.1038/s41467-019-09027-x

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