DeepCPPred

##DeepCPPred: a deep learning framework for discrimination of cell-penetrating peptides and their uptake efficiency. ###Cascade deep forest uses the following dependencies: * python 3.6 * numpy * scipy * scikit-learn * gcForst gcForest is developed by Zhou et al.[1,2], which can be download from http://lamda.nju.edu.cn/code_gcForest.ashx. [1] Z.H. Zhou, J. Feng, Deep forest: towards an alternative to deep neural networks, In: Proceedings of the 26th International Joint Conference on Artificial Intelligence, 2017, pp. 3553-3559. [2] Z.H. Zhou, J. Feng, Deep forest, National Science Review 6 (2019) 74-86. ###Guiding principles: **The dataset file contains the CPP_924 and CPP_Site3 dataset. **Feature Extraction : This directory contains the feature extraction method implemented in the current research . ** Dimensional reduction: ElasticNet.py represents the elastic . ** Classifier: This folder contains the source code of GcForest.