MiNet is a gene- and pathway-based deep neural netowrk for multi-omics data intergration to predict cancer survival outcomes.
To get started, you need to download example datasets from URLs as below:
Training, Validation and Evaluation of MiNet
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.