MiNet
MiNet is a gene- and pathway-based deep neural netowrk for multi-omics data intergration to predict cancer survival outcomes.
Get Started
Example Datasets
To get started, you need to download example datasets from URLs as below:
Train data
Validation data
Test data
Gene Sparse Mask
Pathway Sparse Mask
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.