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Please check out my comments in #160, most of this applies here as well. Once the main point are addressed, I'll take a more detailled look. |
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Mandatory
Name of the tool: scENVI
Short description: scENVI integrates spatial transcriptomics with scRNA-seq to imbue spatial context onto dissociated single-cell
How does the package use scverse data structures (please describe in a few sentences): All main operations, such as COVET representations, VAE training, inference, etc. are based on adata structures.
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)
The package uses automated software tests and runs them via continuous integration (CI)
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