NeoMutate: an ensemble machine learning framework for the prediction of somatic mutations in cancer

BACKGROUND: The accurate screening of tumor genomic landscapes for somatic mutations using high-throughput sequencing involves a crucial step in precise clinical diagnosis and targeted therapy. However, the complex inherent features of cancer tissue, especially, tumor genetic intra-heterogeneity cou...

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Detalles Bibliográficos
Autores principales: Anzar, Irantzu, Sverchkova, Angelina, Stratford, Richard, Clancy, Trevor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6524241/
https://www.ncbi.nlm.nih.gov/pubmed/31096972
http://dx.doi.org/10.1186/s12920-019-0508-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6524241/
https://www.ncbi.nlm.nih.gov/pubmed/31096972
http://dx.doi.org/10.1186/s12920-019-0508-5

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