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

In this project, a Nasopharyngeal Cancer Radiotherapy Sensitivity Scoring System (NPC-RSS) was constructed based on machine learning methods for predicting the sensitivity of nasopharyngeal cancer patients to radiation therapy. The model integrates transcriptomic data and screens key genes through a combination of multiple machine learning algorithms to build a scoring model with good predictive performance.