A multi-gene predictive model for the radiation sensitivity of nasopharyngeal carcinoma based on machine learning

A multi-gene predictive model for the radiation sensitivity of nasopharyngeal carcinoma based on machine learning

Radiotherapy resistance in nasopharyngeal carcinoma (NPC) is a major cause of recurrence and metastasis. Identifying radiotherapy-related biomarkers is crucial for improving patient survival outcomes. This study developed the nasopharyngeal carcinoma radiotherapy sensitivity score (NPC-RSS) to predi...

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Bibliographic Details
Main Authors: Kailai Li, Junyi Liang, Nan Li, Jianbo Fang, Xinyi Zhou, Jian Zhang, Anqi Lin, Peng Luo, Hui Meng
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2025-06-01
Series:eLife
Subjects:
multi-gene signature
machine learning
bioinformatics analysis
Online Access:https://elifesciences.org/articles/99849
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