Metadata-Version: 2.1
Name: SOAPy-st
Version: 0.1.0
Summary: Spatial Omics Analysis in Python
Home-page: https://github.com/LiHongCSBLab/SOAPy
Author: Cancer system biology lab
Author-email: wangheqi2021@sinh.ac.cn
Keywords: bio-informatics,spatial data analysis,spatial omics,spatial transcriptomics
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy<=1.22.3
Requires-Dist: scanpy>=1.9.3
Requires-Dist: opencv-python
Requires-Dist: scipy
Requires-Dist: tqdm
Requires-Dist: anndata>=0.91
Requires-Dist: gsea>=1.0.6
Requires-Dist: geopandas>=0.12.2
Requires-Dist: igraph>=0.9.9
Requires-Dist: s-dbw>=0.4.0
Requires-Dist: rp2
Requires-Dist: seaborn
Requires-Dist: matplotlib
Requires-Dist: sckit-misc
Requires-Dist: tensorly


# SOAPy: A package for **S**patial-**O**mics **A**nalysis in **Py**thon

<div align=left><img width = '200' height ='80' src ="logo_soapy.png"/></div>

## Brief Introduction
**SOAPy** is an integrated toolkit that focuses on addressing spatial heterogeneity. SOAPy contains four data
preprocessing modules (“Data Import”, “spatial network”, and “Spatial Domain”), three modules for analyzing spatial
expression patterns of genes (“Spatial Variation”, “Spatial Tendency”, and “Spatiotemporal Pattern”), two modules
for analyzing the spatial architecture of cells (“Spatial Proximity”, “Spatial Composition”), and two module for
analyzing Spatial Communication.

## Pipeline

<div align=center><img width = '948' height ='800' src ="pipeline.png"/></div>

## Installation
pip:
```
    pip install SOAPy-st
```
github:
```
    cd SOAPy-st
    python setup.py build
    python setup.py install
```
