prediction of lncRNA-disease associations based on Convolutional Block Attention Module and Capsule Network
The Code, Datasets directories contain model codes and tested data sets, respectively. The package versions should be followed by users in their environments to achieve the supposed performance.
python 3.9.16
numpy==1.22.0
matplotlib==3.6.3
torch==1.12.0+cu113
torch-geometric==2.3.0
networkx==3.0
pandas==1.5.3
scipy ==1.10.0
scikit-learn==1.2.1
The program is in Python 3.9.16 using [Pytorch] backends. Use the below bash command to run CCLDA.
python main.py -d dataset(If using this code , please cite our paper.)
CCLDA: prediction of lncRNA-disease associations based on Convolutional Block Attention Module and Capsule Network