A novel machine learning approach (svmSomatic) to distinguish somatic and germline mutations using next-generation sequencing data

Somatic mutations are a large category of genetic variations, which play an essential role in tumorigenesis. Detection of somatic single nucleotide variants (SNVs) could facilitate downstream analysis of tumorigenesis. Many computational methods have been developed to detect SNVs, but most require n...

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Detalles Bibliográficos
Autores principales: Mao, Yu-Fang, Yuan, Xi-Guo, Cun, Yu-Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Science Press 2021
Materias:
Letters to the Editor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7995270/
https://www.ncbi.nlm.nih.gov/pubmed/33709636
http://dx.doi.org/10.24272/j.issn.2095-8137.2021.014

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7995270/
https://www.ncbi.nlm.nih.gov/pubmed/33709636
http://dx.doi.org/10.24272/j.issn.2095-8137.2021.014

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