| packageName | version |
|---|---|
| networkx | 2.5.1 |
| numpy | 1.19.5 |
| pandas | 0.20.3 |
| scikit-learn | 0.24.2 |
| scipy | 1.5.4 |
| xgboost | 1.3.3 |
and node2vec package was downloaded from https://github.com/eliorc/node2vec
Data Folder : Contains all data used in our experiment.
eg: LncDis.csv :Contains all lncRNA-disease association records;
AllAsso.csv:Contains all association records used in our experiment
SVD Folder: The implementation of SVD on lncRNA-disease association matrix
GetMat.py: transform the association records into association matrix
SVDImp.py: implete SVD on the matrix and save the linear features of lncRNAs and diseases
N2V Folder: The implementation of node2vec on LMDN
node2vec_flight.py: implete node2vec on LMDN
vecGet.py: fit the original node2vec result to classifiers
Sampling Folder: Create the negative samles and conduct the randomly sample
Classifier Folder: implete the ultimate classification exhibit the 10-fold cross validation results