Towards precision oncology: a multi-level cancer classification system integrating liquid biopsy and machine learning

Towards precision oncology: a multi-level cancer classification system integrating liquid biopsy and machine learning

Abstract Background Millions of people die from cancer every year. Early cancer detection is crucial for ensuring higher survival rates, as it provides an opportunity for timely medical interventions. This paper proposes a multi-level cancer classification system that uses plasma cfDNA/ctDNA mutatio...

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Bibliographic Details
Main Authors: Amr Eledkawy, Taher Hamza, Sara El-Metwally
Format: Article
Language:English
Published: BMC 2025-04-01
Series:BioData Mining
Subjects:
Multi-cancer classification
Majority vote feature selection
Ensemble learning
Liquid biopsy
CfDNA/ctDNA
Protein biomarkers
Online Access:https://doi.org/10.1186/s13040-025-00439-8
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https://doi.org/10.1186/s13040-025-00439-8

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