Metadata-Version: 2.4
Name: Phenoverse
Version: 0.1.1
Summary: Deep interpretable learning of sample representations for characterizing disease states in single-cell transcriptomics
Home-page: https://github.com/KellisLab/Phenoverse
Author: Manoj M Wagle
Author-email: manojmw@mit.edu
License: MIT
Project-URL: Documentation, https://kellislab.github.io/Phenoverse/
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.12
Requires-Python: >=3.12
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: torch
Requires-Dist: scanpy
Requires-Dist: pandas
Requires-Dist: numpy
Requires-Dist: scikit-learn
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Dynamic: description
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## Deep interpretable learning of sample representations for characterizing disease states in single-cell transcriptomics
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[![PyPI version](https://img.shields.io/pypi/v/Phenoverse?color=teal)](https://pypi.org/project/Phenoverse/)
[![Docs](https://img.shields.io/badge/docs-passing-brightgreen)](https://kellislab.github.io/Phenoverse/)
![Python](https://img.shields.io/badge/python-%3E%3D3.12-blue)
[![License](https://img.shields.io/badge/license-MIT-green)](https://github.com/KellisLab/Phenoverse?tab=MIT-1-ov-file#readme)

</br>

Thank you for using Phenoverse, if you find a bug or encounter any issues running the tool, please open an issue on GitHub, and we will get back to you as soon as possible : )

</br>

For usage, please refer to the documentation available <a href="https://kellislab.github.io/Phenoverse/">here</a>

</br>

<div align="center">
  <img src="https://raw.githubusercontent.com/KellisLab/Phenoverse/main/docs/images/Framework.png"
       alt="Phenoverse"
       width="700" />
</div>

