This is code of AGLDA (“Learning association characteristics by dynamic hypergraph and gated convolution enhanced pairwise attributes for prediction of disease-related lncRNAs”).
| File_name | Data_type | Source |
|---|---|---|
| dis_sim_matrix_process.txt | disease-disease | MeSH |
| lnc_dis_association.txt | lncRNA-disease | LncRNADisease |
| mi_dis.txt | miRNA-disease | HMDD |
| lnc_mi.txt | lncRNA-miRNA | starBase |
| lnc_sim.txt | lncRNA-lncRNA |
Chen et al. |
(1) Chen, X., Clarence Yan, C., Luo, C. et al. Constructing lncRNA Functional Similarity Network Based on lncRNA-Disease Associations and Disease Semantic Similarity. Sci Rep 5, 11338 (2015).
-train : data preprocessing and model training
-data : data set
-evaluation : experimental evaluation
-parasave : results and parameterspackages:
python == 3.9.0
torch == 1.13.0
numpy == 1.23.5
scikit-learn == 1.2.2
scipy == 1.10.1
pandas == 2.0.1
matplotlib == 3.7.1python ./train/preprocess.py
python ./train/train.py
python ./evaluation/plt.py