Metadata-Version: 2.1
Name: deepcolor
Version: 0.0.5
Summary: Analyze colocalization patterns between single cell gene expression profiles.
Home-page: https://github.com/kojikoji/deepcolor
Author: Kojima Yasuhiro
Author-email: kojima.yasuhiro@med.nagoya-u.ac.jp
Project-URL: Bug Tracker, https://github.com/kojikoji/deepcolor/issues
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE

# deepCOLOR: DEEP Generative model for single-cell COLOcalization Representation
DeepCOLOR is intended to analyze colocalization relation ships between single cell transcriptomes, integrating them with spatial transcriptome.

## Instalation
You can install deepCOLOR using pip command from your shell.
```shell
pip install deepcolor  imgaug==0.2.5
```

## Usage
You need to prepare [`AnnData` objects](https://anndata.readthedocs.io/en/latest/) which includes raw count matrix of gene expression for single cell and spatial transcriptome respectively. You can see the usage in [IPython Notebook](tutorial/deepcolor_tutorial.ipynb).
