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add pyCrossTalkeR
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Hi @ruthvik07, Thanks for submitting Looking forward to hearing from you. Best, |
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@mikkelnrasmussen we wiill adequate this during this week. Best |
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@mikkelnrasmussen we have refactor the test and the fuctions of pyCrossTalkeR are fully covered now :) |
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@ruthvik07 it seems to me that the files with out-commented tests have just been deleted. What I meant by my previous comment was that there should be tests covering all of the functions you provide API documentation for. Best, |
| documentation_home: https://pycrosstalker.readthedocs.io/en/stable/ | ||
| tutorials_home: https://pycrosstalker.readthedocs.io/en/stable/ |
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| documentation_home: https://pycrosstalker.readthedocs.io/en/stable/ | |
| tutorials_home: https://pycrosstalker.readthedocs.io/en/stable/ | |
| documentation_home: https://pycrosstalker.readthedocs.io/ | |
| tutorials_home: https://pycrosstalker.readthedocs.io/ |
Dear Mikkel @mikkelnrasmussen, the files were removed once the tool functionallity covered by tests in the other units. The removed files were deleted once they were old scripts generated by @ruthvik07 while developing the tool. Currently, the unit tests are passing in both Python 3.11 and 3.12. Happy to clarify and provide more tests if needed. Best, |
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