GCNMDA

GCNMDA: A novel Graph Convolution Network based framework for predicting Microbe-Drug Associations.

Data description

• adj: interaction pairs between microbes and drugs.
• drugs: IDs and names for drugs.
• microbes/viruses: IDs and names for microbes/viruses.
• drugfeatures: pre-processing feature matrix for drugs.
• microbefeatures: pre-processing feature matrix for microbes.
• drugsimilarity: integrated drug similarity matrix.
• microbesimilarity: integrated microbe similarity matrix.

Run steps

1. To generate training data and test data.
2. Run train.py to train the model and obtain the predicted scores for microbe-drug associations.

Requirements

• GCNMDA is implemented to work under Python 3.7.
• Tensorflow
• numpy
• scipy
• sklearn