| Name | graphcompass JSON |
| Version |
0.2.4
JSON |
| download |
| home_page | None |
| Summary | Spatial metrics for differential analyses of cell organization across conditions |
| upload_time | 2024-09-12 10:33:34 |
| maintainer | None |
| docs_url | None |
| author | Mayar Ali, Merel Kuijs |
| requires_python | <3.12,>=3.9 |
| license | MIT License Copyright © 2024 Mayar Ali and Merel Kuijs Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
| keywords |
bio-informatics
cell spatial organization
graph analytics
spatial data analysis
spatial omics
tissue architecture
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
[](https://pypi.org/project/graphcompass/)
# GraphCompass
GraphCompass (**Graph** **Comp**arison Tools for Differential **A**nalyses in **S**patial **S**ystems) is a Python-based framework that brings together a robust suite of graph analysis and visualization methods, specifically tailored for the differential analysis of cell spatial organization using spatial omics data. It is developed on top on [`Squidpy`](https://github.com/scverse/squidpy/) and [`AnnData`](https://github.com/scverse/anndata).
Visit our [`repository`](https://github.com/theislab/graphcompass/) for documentation and tutorials.
## GraphCompass key analysis features include:
- Cell-type-specific subgraphs comparison.
- Cellular neighborhoods comparison.
- Entire graphs comparison.
## Installation
Install GraphCompass via PyPI by running:
pip install graphcompass
## Contributing to GraphCompass
We are happy to collaborate. If you want to contribute to GraphCompass, head over to our GitHub repository and open an issue to discuss what you would like to change.
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