Machine learning optimized DriverDetect software for high precision prediction of deleterious mutations in human cancers

Machine learning optimized DriverDetect software for high precision prediction of deleterious mutations in human cancers

Abstract The detection of cancer-driving mutations is important for understanding cancer pathology and therapeutics development. Prediction tools have been created to streamline the computation process. However, most tools available have heterogeneous sensitivity or specificity. We built a machine l...

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Bibliographic Details
Main Authors: Herrick Yu Kan Koh, Ulysses Tsz Fung Lam, Kenneth Hon-Kim Ban, Ee Sin Chen
Format: Article
Language:English
Published: Nature Portfolio 2024-09-01
Series:Scientific Reports
Subjects:
DriverDetect
Machine learning
Cancer driver
Mutations
Deleterious
Precision prediction
Online Access:https://doi.org/10.1038/s41598-024-71422-2

Internet

https://doi.org/10.1038/s41598-024-71422-2

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