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A python package that integrate algorithms and various machine learning approaches to extract features (genes) effective for classification and attribute them accordingly.

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SSSYDYSSS/TransProPy

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TransProPy

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A python package that integrate algorithms and various machine learning approaches to extract features (genes) effective for classification and attribute them accordingly.

Installation

pip3 install TransProPy
pip3 install git+https://github.com/SSSYDYSSS/TransProPy.git

Usage

# e.g.: 
from TransProCalc import my_function
my_function()

Citation

Yu Dongyue (2023). TransProPy: A python package that integrate algorithms and various machine learning approaches to extract features (genes) effective for classification and attribute them accordingly.

https://github.com/SSSYDYSSS/TransProPy, https://sssydysss.github.io/TransProPyBook/.

More examples see

TransProPy Manual:https://sssydysss.github.io/TransProPyBook/

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

License

This project is licensed under the BSD 3-Clause License - see the LICENSE file for details.

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A python package that integrate algorithms and various machine learning approaches to extract features (genes) effective for classification and attribute them accordingly.

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