LPI-HyADBS

LPI-HyADBS: A hybrid framework integrating feature extraction based on AdaBoost, and classification models including DNN, XGBoost, and SVM used to predict LPIs

Data

Data is available at NONCODE, NPInter v3.0, and PlncRNADB.

Feature Acquisition

PyFeat

Environment

• python == 3.8.5
• pytorch == 1.4.0
• scikit-learn == 0.23.2
• xgboost == 1.3.1

Usage

To run the model, default 5 fold cross validation

python example/main.py