| abstract |
The present invention relates to the field of biological information, in particular to a method for constructing a tumor prognosis prediction model based on angiogenesis-related genes. The present invention is constructed based on four machine learning algorithms (MMLA), LASSO, RFB, SVM and XGBoost, and uses two independent GC queues. authenticating. The prediction model constructed by the present invention has good guiding significance in determining the prognosis of the patient and the treatment target. |