Comprehensive assessment of computational algorithms in predicting cancer driver mutations

Comprehensive assessment of computational algorithms in predicting cancer driver mutations

Abstract 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 c...

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Bibliographic Details
Main Authors: Hu Chen, Jun Li, Yumeng Wang, Patrick Kwok-Shing Ng, Yiu Huen Tsang, Kenna R. Shaw, Gordon B. Mills, Han Liang
Format: Article
Language:English
Published: BMC 2020-02-01
Series:Genome Biology
Subjects:
The Cancer Genome Atlas
Driver mutations
Passenger mutations
3D clustering
TP53 mutations
Tumor transformation
Online Access:http://link.springer.com/article/10.1186/s13059-020-01954-z

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http://link.springer.com/article/10.1186/s13059-020-01954-z

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