Thesis main project Here we develop novel models that build on variational graph auto-encoders and can integratediverse types of data to provide high quality predictions of genetic interactions, cell line dependencies anddrug sensitivities.
You can also installed the python environment by running:
$ pip install -r requirements.txt
Follow the following steps:
Step1: Select the prediction task and the required dataset.
Step2: Decompress the required data file, for example:
unzip data_sl.zip
Step3: Run the required file based on your task prediction:
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For training Genetic Interations:
$ python main_gi.py --dataset selected_dataset -
For training Cancer Dependency:
$ python main_dependency.py --dataset selected_dataset -
For training Drug Sensitivity:
$ python main_drug.py --dataset selected_dataset