Spatial metrics for differential analyses of cell organization across conditions

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  • License: BSD License (MIT License Copyright © 2024 Mayar Ali and Merel Kuijs Permission is hereby granted, free of charg...)
  • Author: Mayar Ali, Merel Kuijs
  • Maintainer: Mayar Ali
  • Tags bio-informatics, cell spatial organization, graph analytics, spatial data analysis, spatial omics, tissue architecture
  • Requires: Python <3.12, >=3.9
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Project description

PyPI

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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Avatar for mayarali from gravatar.com mayarali Avatar for merelkuijs from gravatar.com merelkuijs

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Project links
Meta
  • License: BSD License (MIT License Copyright © 2024 Mayar Ali and Merel Kuijs Permission is hereby granted, free of charg...)
  • Author: Mayar Ali, Merel Kuijs
  • Maintainer: Mayar Ali
  • Tags bio-informatics, cell spatial organization, graph analytics, spatial data analysis, spatial omics, tissue architecture
  • Requires: Python <3.12, >=3.9
Classifiers

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