Please cite our paper. In this site you can download our benchmark data in fasta format, feature sets and source code.
1. PSSM Feature Extraction Method and Fature Normalization Techniques:
2. Imbalanced dataset technique (SMOTE & ADASYN):
Note: When build our deep learning model, we utilize the Keras 2.1.5 (https://github.com/fchollet/keras) as an open source neural network library written in Python with the Tensorflow 1.8.0 backend and NVIDIA GeForce GTX 980 Ti GPU was used for training the model.