Cox-PASNet is a pathway-based sparse deep neural network for survival analysis.
To get started, you need to download example datasets from URLs as below:
Training, Validation and Evaluation of Cox-PASNet
Run.py: to train the model with the inputs from train.csv. Hyperparmeters are optimized by grid search automatically with validation.csv. C-index is used to evaluate the model performance with test.csv.
Run_for_Interpret.py: to interpret the model with entire_data.csv.