DeepB3Pred - code
收藏NIAID Data Ecosystem2026-05-10 收录
下载链接：
https://figshare.com/articles/dataset/DeepB3Pred_-_code/30149158
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资源简介：
DeepB3Pred
uses the following dependencies:
MATLAB2018a python 3.10 numpy scipy pandas scikit-learn catboost= 1.1.1 gc_forset xgboost-1.5.0 tensorflow=1.15.0 Keras=2.1.6
Guiding principles:
The data contains a training dataset and a testing dataset. The training dataset TR_BB.fasta includes BBB_pos and BBB_neg training samples. Testing dataset TS_BB includes BBB_pos and BBB_neg testing samples
Feature_Extraction: CPSR is the implementation of component protein sequence representation. MCTD is the implementation of composition-transition and distribution, and GSFE is the implementation of graphical and statistical-based feature engineering.
Classifier: DeepB3Pred.py is the implementation of the proposed method to predict B3PPs and non-B3PPs.
创建时间：
2025-09-17
