Add eschr

[smgoggin10]

Name of the tool: ESCHR

Short description: ESCHR is an ensemble method for robust clustering across diverse single cell datasets. It provides hard clusters along with uncertainty scores as well as soft clustering outputs to facilitate sound interpretation and downstream usage of results.

How does the package use scverse data structures (please describe in a few sentences): The package is based on AnnData objects, it reads from AnnData and writes back to AnnData. Some plotting and preprocessing functionalities from scanpy are used.

• The code is publicly available under an OSI-approved license
• The package provides versioned releases
• The package can be installed from a standard registry (e.g. PyPI, conda-forge, bioconda)
• Automated tests cover essential functions of the package and a reasonable range of inputs and conditions
• Continuous integration (CI) automatically executes these tests on each push or pull request
• The package provides API documentation via a website or README
• The package uses scverse datastructures where appropriate (i.e. AnnData, MuData or SpatialData and their modality-specific extensions)
• I am an author or maintainer of the tool and agree on listing the package on the scverse website

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:
  • Zulip:
  • Discourse:
  • Mastodon: @[email protected]
  • Bluesky: @smgoggin.bsky.social
  • Twitter: @Sarah_M_Goggin
• The package provides tutorials (or "vignettes") that help getting users started quickly
• The package uses the scverse cookiecutter template.