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add STMiner #253
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Name of the tool: STMiner Short description: Gene-centric spatial transcriptomics for deciphering complex spatial omics data How does the package use scverse data structures (please describe in a few sentences): STMiner uses AnnData as standardized input and output, and all operations are based on AnnData. STMiner also supports reading data in multiple formats (CSV, gem, etc.) and converting them into AnnData for unified operations. - [x] The code is publicly available under an [OSI-approved](https://opensource.org/licenses/alphabetical) license - [x] The package provides versioned releases - [x] The package can be installed from a standard registry (e.g. PyPI, conda-forge, bioconda) - [x] Automated tests cover essential functions of the package and a reasonable range of inputs and conditions [^1] - [x] Continuous integration (CI) automatically executes these tests on each push or pull request [^2] - [x] The package provides API documentation via a website or README[^3] - [x] The package uses scverse datastructures where appropriate (i.e. AnnData, MuData or SpatialData and their modality-specific extensions) - [x] I am an author or maintainer of the tool and agree on listing the package on the scverse website
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Name of the tool: STMiner
Short description: Gene-centric spatial transcriptomics for deciphering complex spatial omics data
How does the package use scverse data structures (please describe in a few sentences): STMiner uses AnnData as standardized input and output, and all operations are based on AnnData. STMiner also supports reading data in multiple formats (CSV, gem, etc.) and converting them into AnnData for unified operations.