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Name of the tool: NichePCA

Short description: A Python package for PCA-based spatial domain identification in single-cell spatial transcriptomics data.

How does the package use scverse data structures (please describe in a few sentences): The package takes as input an anndata object and saves all results in specific attributes. Specifically, the resulting domains or domain clusters are saved in an adata.obs column.

  • 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 [^1]
  • Continuous integration (CI) automatically executes these tests on each push or pull request [^2]
  • The package provides API documentation via a website or README[^3]
  • 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
  • The package provides tutorials (or "vignettes") that help getting users started quickly
  • The package uses the scverse cookiecutter template.

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