Comprehensive assessment of computational algorithms in predicting cancer driver mutations

BACKGROUND: The initiation and subsequent evolution of cancer are largely driven by a relatively small number of somatic mutations with critical functional impacts, so-called driver mutations. Identifying driver mutations in a patient’s tumor cells is a central task in the era of precision cancer me...

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Detalles Bibliográficos
Autores principales: Chen, Hu, Li, Jun, Wang, Yumeng, Ng, Patrick Kwok-Shing, Tsang, Yiu Huen, Shaw, Kenna R., Mills, Gordon B., Liang, Han
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7033911/
https://www.ncbi.nlm.nih.gov/pubmed/32079540
http://dx.doi.org/10.1186/s13059-020-01954-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7033911/
https://www.ncbi.nlm.nih.gov/pubmed/32079540
http://dx.doi.org/10.1186/s13059-020-01954-z

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