1.INTRODUCTION

The program is developed for enhaner prediction, including five individual feature-based models: spectrum profile, mismatch profile, subsequence profile, PSSM and PseDNC, and ensemble learning model. Before the prediction, please make sure your computer has installed the software: the python package: repDNA and shap.
repDNA (http://bioinformatics.hitsz.edu.cn/repDNA/).
pip install shap //python

2.DATASETS

Here, there are four datasets:enhancer, non-enhancer, strong enhancer, weak enhancer.

3.ATTENTION

PseDNC models should use the datasets: enhancer4, non-enhancer4, strong enhancer4, weak enhancer4. If you use the PseDNC models, you should use python environment：python 2.7.
If you use the shap models,you shoule use python environment:python 3.6.