Spatial metrics for differential analyses of cell organization across conditions

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for mayarali from gravatar.com mayarali Avatar for merelkuijs from gravatar.com merelkuijs

Unverified details

These details have not been verified by PyPI
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
Report project as malware

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 about any contributions!

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for mayarali from gravatar.com mayarali Avatar for merelkuijs from gravatar.com merelkuijs

Unverified details

These details have not been verified by PyPI
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

Release history Release notifications | RSS feed

0.2.5

0.2.4

0.2.3

0.2.2

This version

0.2.1

0.2.0

0.1.3

0.1.2

0.1.1

0.1.0

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

graphcompass-0.2.1.tar.gz (565.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

graphcompass-0.2.1-py3-none-any.whl (27.9 kB view details)

Uploaded Python 3

File details

Details for the file graphcompass-0.2.1.tar.gz.

File metadata

  • Download URL: graphcompass-0.2.1.tar.gz
  • Upload date:
  • Size: 565.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.10.0

File hashes

Hashes for graphcompass-0.2.1.tar.gz
Algorithm Hash digest
SHA256 439eaae73896adb56b1c15ca353cda8644659eaaddbfd1c0a10af8de1630ece2
MD5 2f90de74aa8fc7f0f9740f2d5541bd9d
BLAKE2b-256 9be11a5234f3e77f1f1a9d0545dbb6ffa7e943e9c408afb6f0f186a3409ed3c5

See more details on using hashes here.

File details

Details for the file graphcompass-0.2.1-py3-none-any.whl.

File metadata

  • Download URL: graphcompass-0.2.1-py3-none-any.whl
  • Upload date:
  • Size: 27.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.10.0

File hashes

Hashes for graphcompass-0.2.1-py3-none-any.whl
Algorithm Hash digest
SHA256 89633b527c2897765382c0b28368cf23a03810e71f49684b5f2377f5b2568b37
MD5 49b9941516f34a2dad0ea0c365d49aab
BLAKE2b-256 acb595f92fbb40c979e6672d1719fd14fc604c5db9552ede1d60ffb535818bb6

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page