Discovering the molecular differences between right- and left-sided colon cancer using machine learning methods

摘要

Feature selection and classification model based on mutations between LCC and RCC. a AUC scores of 100 times 10-fold cross-validation using different feature numbers. b The ROC curve of the classification model on the test dataset. c The importance score of the 30 mutation features