Metadata-Version: 2.4
Name: mievformer
Version: 0.2.0
Summary: A deep learning model for microenvironment estimation based on spatial transcriptomics
Author-email: Yasuhiro Kojima <tiisaishima@gmail.com>
License: MIT License
Project-URL: Homepage, https://github.com/kojikoji/mievformer_package
Project-URL: Repository, https://github.com/kojikoji/mievformer_package
Project-URL: Bug Tracker, https://github.com/kojikoji/mievformer_package/issues
Keywords: spatial-transcriptomics,deep-learning,single-cell,microenvironment,niche,transformer
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: torch
Requires-Dist: pytorch-lightning
Requires-Dist: scanpy
Requires-Dist: anndata
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: scipy
Requires-Dist: statsmodels
Requires-Dist: scikit-learn
Requires-Dist: einops
Requires-Dist: matplotlib
Requires-Dist: networkx
Requires-Dist: jax
Requires-Dist: optax
Requires-Dist: squidpy
Provides-Extra: dev
Requires-Dist: pytest; extra == "dev"
Dynamic: license-file

# mievformer

mievformer is a Python package for nicheformer analysis, providing tools for spatial transcriptomics data analysis, including niche modeling, cell-cell interaction estimation, and visualization.

## Installation

```bash
pip install mievformer
```

## Documentation

For detailed usage instructions, tutorials, and API reference, please visit the documentation:

**https://kojikoji.github.io/mievformer_package/index.html**

## License

MIT License
