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HiRAND

This is the code of paper: HiRAND: A novel semi-supervised deep learning framework for predicting drug response to therapy in cancer.

Requirements

Python 3.7.3
Please install other pakeages by pip install -r requirements.txt

Usage Example

Runing HiRAND on the drug response data: python train_drug.py
Runing HiRAND on simulation data: python train_simulation.py
Runing HiRAND for 5 times on data: sh submit.sh

Code Base Structure

train_drug.py: main script for drug reponse prediction.
train_simulation.py: main script for simulation data prediction.
until.py: contains definitions for aample similarity graph construction and etc.
model.py: contains PyTorch model definitions for HiRAND.
generate_simulation_data.py: generates the simulation data.
submit.sh: complete the multiple prediction task using train_drug.py or train_simulation.py.

The drug related data

The drug data is too large to upload. If you need them, please download drug data. (retrieve password:bu2d).

Contact

For questions or comments about the code please contact: [email protected]

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