Deep convolutional neural networks for accurate somatic mutation detection

Somatic mutations are crucial to the understanding of cancer genesis, progression, and treatment, but are still challenging to detect. Here the authors present NeuSomatic, a convolutional neural network approach for accurate somatic mutation detection across various sequencing scenarios.

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Autores principales:	Sayed Mohammad Ebrahim Sahraeian, Ruolin Liu, Bayo Lau, Karl Podesta, Marghoob Mohiyuddin, Hugo Y. K. Lam
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/97e2f4d53235488391827e07f5a633f0
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spelling	oai:doaj.org-article:97e2f4d53235488391827e07f5a633f02021-12-02T16:58:25ZDeep convolutional neural networks for accurate somatic mutation detection10.1038/s41467-019-09027-x2041-1723https://doaj.org/article/97e2f4d53235488391827e07f5a633f02019-03-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-09027-xhttps://doaj.org/toc/2041-1723Somatic mutations are crucial to the understanding of cancer genesis, progression, and treatment, but are still challenging to detect. Here the authors present NeuSomatic, a convolutional neural network approach for accurate somatic mutation detection across various sequencing scenarios.Sayed Mohammad Ebrahim SahraeianRuolin LiuBayo LauKarl PodestaMarghoob MohiyuddinHugo Y. K. LamNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-10 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Sayed Mohammad Ebrahim Sahraeian Ruolin Liu Bayo Lau Karl Podesta Marghoob Mohiyuddin Hugo Y. K. Lam Deep convolutional neural networks for accurate somatic mutation detection
description	Somatic mutations are crucial to the understanding of cancer genesis, progression, and treatment, but are still challenging to detect. Here the authors present NeuSomatic, a convolutional neural network approach for accurate somatic mutation detection across various sequencing scenarios.
format	article
author	Sayed Mohammad Ebrahim Sahraeian Ruolin Liu Bayo Lau Karl Podesta Marghoob Mohiyuddin Hugo Y. K. Lam
author_facet	Sayed Mohammad Ebrahim Sahraeian Ruolin Liu Bayo Lau Karl Podesta Marghoob Mohiyuddin Hugo Y. K. Lam
author_sort	Sayed Mohammad Ebrahim Sahraeian
title	Deep convolutional neural networks for accurate somatic mutation detection
title_short	Deep convolutional neural networks for accurate somatic mutation detection
title_full	Deep convolutional neural networks for accurate somatic mutation detection
title_fullStr	Deep convolutional neural networks for accurate somatic mutation detection
title_full_unstemmed	Deep convolutional neural networks for accurate somatic mutation detection
title_sort	deep convolutional neural networks for accurate somatic mutation detection
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/97e2f4d53235488391827e07f5a633f0
work_keys_str_mv	AT sayedmohammadebrahimsahraeian deepconvolutionalneuralnetworksforaccuratesomaticmutationdetection AT ruolinliu deepconvolutionalneuralnetworksforaccuratesomaticmutationdetection AT bayolau deepconvolutionalneuralnetworksforaccuratesomaticmutationdetection AT karlpodesta deepconvolutionalneuralnetworksforaccuratesomaticmutationdetection AT marghoobmohiyuddin deepconvolutionalneuralnetworksforaccuratesomaticmutationdetection AT hugoyklam deepconvolutionalneuralnetworksforaccuratesomaticmutationdetection
_version_	1718382344843296768

Deep convolutional neural networks for accurate somatic mutation detection

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