Text-mining clinically relevant cancer biomarkers for curation into the CIViC database

Text-mining clinically relevant cancer biomarkers for curation into the CIViC database

Abstract Background Precision oncology involves analysis of individual cancer samples to understand the genes and pathways involved in the development and progression of a cancer. To improve patient care, knowledge of diagnostic, prognostic, predisposing, and drug response markers is essential. Seve...

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Bibliographic Details
Main Authors: Jake Lever, Martin R. Jones, Arpad M. Danos, Kilannin Krysiak, Melika Bonakdar, Jasleen K. Grewal, Luka Culibrk, Obi L. Griffith, Malachi Griffith, Steven J. M. Jones
Format: Article
Language:English
Published: BMC 2019-12-01
Series:Genome Medicine
Subjects:
Precision oncology
Text mining
Information extraction
Machine learning
Cancer biomarkers
Online Access:https://doi.org/10.1186/s13073-019-0686-y

Internet

https://doi.org/10.1186/s13073-019-0686-y

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