Spatial metrics for differential analyses of cell organization across conditions
Project description
GraphCompass
GraphCompass (Graph Comparison Tools for Differential Analyses in Spatial Systems) 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 and AnnData.
Visit our repository 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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