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Mandatory
Name of the tool: pyCrossTalkeR
Short description: pyCrossTalkeR is a framework for network analysis and visualisation of LR networks. pyCrossTalkeR identifies relevant ligands, receptors and cell types contributing to changes in cell communication when contrasting two biological states: disease vs. homeostasis. A case study on scRNA-seq of human myeloproliferative neoplasms reinforces the strengths of pyCrossTalkeR for characterisation of changes in cellular crosstalk in disease state.
How does the package use scverse data structures (please describe in a few sentences): The package uses AnnData data structure to read and store the analysis results.
Recommended
Please announce this package on scverse communication channels (zulip, discourse, twitter)
Please tag the author(s) these announcements. Handles (e.g.
@scverse_team
) to include are:The package provides tutorials (or "vignettes") that help getting users started quickly
The package uses the scverse cookiecutter template.
Maintainers
https://github.com/jsnagai - James Nagai
https://github.com/vckraemer - Venessa Klocker
https://github.com/CostaLab