Metadata-Version: 2.1
Name: gfpa
Version: 1.1.0
Summary: Gene function and cell surface protein association analysis based on single-cell multiomics data.
Home-page: https://github.com/studentiz/gfpa
Author: studentiz
Author-email: studentiz@live.com
License: MIT
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: Implementation :: CPython
Classifier: Programming Language :: Python :: Implementation :: PyPy
Requires-Python: >=3.8.12
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Requires-Dist: bokeh (>=2.4.2)
Requires-Dist: Pillow (>=9.0.1)
Requires-Dist: six (>=1.16.0)
Requires-Dist: cloudpickle (>2.0.0)
Requires-Dist: scikit-misc (>=0.1.4)
Requires-Dist: leidenalg (>=0.8.8)
Requires-Dist: matplotlib (>=3.5.1)
Requires-Dist: numpy (>=1.21.5)
Requires-Dist: pandas (>=1.4.1)
Requires-Dist: PhenoGraph (>=1.5.7)
Requires-Dist: scanpy (>=1.8.2)
Requires-Dist: scikit-bio (>=0.5.6)
Requires-Dist: scikit-learn (>=1.0.2)
Requires-Dist: scipy (>=1.8.0)
Requires-Dist: seaborn (>=0.11.2)
Requires-Dist: statsmodels (>=0.13.1)
Requires-Dist: umap-learn (>=0.5.2)


# Gene function and cell surface protein association analysis based on single-cell multiomics data
It is a single-cell multiomics data analysis framework that analyzes the association of gene function and cell surface proteins. 
The python packages, datasets and user-friendly manuals of GFPA are freely available at https://github.com/studentiz/gfpa.

## The GFPA framework works with scanpy and supports the following single-cell multimodal analyses
* Single-cell multi-omics data preprocessing
* Quantification of gene function
* Gene function and protein association mining
* Visualization

## Pip install
```python
pip install gfpa
```
## Datasets
The dataset participating in "Gene function and cell surface protein association analysis based on single-cell multiomics data" can be downloaded at [GFPA data warehouse](http://101.34.64.251:8800/)
