A multi-gene predictive model for the radiation sensitivity of nasopharyngeal carcinoma based on machine learning
Kailai Li, Junyi Liang, Nan Li, Jianbo Fang, Xinyi Zhou, Jian Zhang, Anqi Lin, Peng Luo, Hui Meng
This paper develops a machine learning model to predict radiosensitivity in nasopharyngeal carcinoma using gene expression data and validates its association with immune characteristics and signaling pathways.
eLife · Jun 18, 2025Peer-reviewedBioinformatics