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Deep-4mCGP: A deep learning approach to predict 4mC sites in Geobacter pickeringii by using correlation-based feature selection technique

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Deep-4mCGP

A deep learning approach to predict 4mC sites in Geobacter pickeringii by using correlation-based feature selection technique

Required Packages

Python3 (tested 3.5.4)
jupyter (tested 1.0.0)
scikit-learn (tested 0.22.1)
pandas (tested 1.0.1)
numpy (tested 1.18.1)
gensim (tested 3.8.1)
sklearn (tested 0.19.1)
keras (tested 2.3.1)
tensorflow (tested 2.1.0)

Create a new repository on the command line

echo "Deep-4mCGP" >> README.md

git init git add README.md git commit -m "first commit" git branch -M main git remote add origin https://github.com/linDing-groups/Deep-4mCGP.git git push -u origin main

Push an existing repository from the command line

git remote add origin https://github.com/linDing-groups/Deep-4mCGP.git git branch -M main git push -u origin main

Note

For files with different input sequences, you need to pay attention to the modification of parameters in code.

Citation

Zulfiqar, H., Huang, Q.L., Lv, H., Sun, Z.J., Dao, F.Y. and Lin, H. "Deep-4mCGP: A Deep Learning Approach to Predict 4mC Sites in Geobacter pickeringii by Using Correlation-Based Feature Selection Technique". International Journal of Molecular Sciences (2022), 23(3), 1251. https://doi.org/10.3390/ijms23031251

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Deep-4mCGP: A deep learning approach to predict 4mC sites in Geobacter pickeringii by using correlation-based feature selection technique

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