SpatialPrompt


NameSpatialPrompt JSON
Version 0.0.6 PyPI version JSON
download
home_pageNone
SummaryScalable and efficient cell type deconvolution and clustering in spatial transcriptomics
upload_time2024-06-11 05:15:22
maintainerNone
docs_urlNone
authorAsish Kumar Swain
requires_pythonNone
licenseMIT
keywords willupdate
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # SpatialPrompt : Spatially aware scalable and accurate tool for spot deconvolution and clustering in spatial transcriptomics

Article url: https://doi.org/10.1038/s42003-024-06349-5 \
Cite the article : 
```
Swain, A.K., Pandit, V., Sharma, J. et al. SpatialPrompt: spatially aware scalable and accurate tool for spot deconvolution and domain identification in spatial transcriptomics. Commun Biol 7, 639 (2024). https://doi.org/10.1038/s42003-024-06349-5 
```
SpatialPromptDB database url: https://swainasish.github.io/SpatialPrompt/

            

Raw data

            {
    "_id": null,
    "home_page": null,
    "name": "SpatialPrompt",
    "maintainer": null,
    "docs_url": null,
    "requires_python": null,
    "maintainer_email": null,
    "keywords": "willupdate",
    "author": "Asish Kumar Swain",
    "author_email": "swainkasish@gmail.com",
    "download_url": "https://files.pythonhosted.org/packages/53/ab/ad382616cbec5f86f0060e413ad031438048bf9676bf1ce72125317ec1ac/SpatialPrompt-0.0.6.tar.gz",
    "platform": null,
    "description": "# SpatialPrompt : Spatially aware scalable and accurate tool for spot deconvolution and clustering in spatial transcriptomics\n\nArticle url: https://doi.org/10.1038/s42003-024-06349-5 \\\nCite the article : \n```\nSwain, A.K., Pandit, V., Sharma, J. et al. SpatialPrompt: spatially aware scalable and accurate tool for spot deconvolution and domain identification in spatial transcriptomics. Commun Biol 7, 639 (2024). https://doi.org/10.1038/s42003-024-06349-5 \n```\nSpatialPromptDB database url: https://swainasish.github.io/SpatialPrompt/\n",
    "bugtrack_url": null,
    "license": "MIT",
    "summary": "Scalable and efficient cell type deconvolution and clustering in spatial transcriptomics",
    "version": "0.0.6",
    "project_urls": null,
    "split_keywords": [
        "willupdate"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "53abad382616cbec5f86f0060e413ad031438048bf9676bf1ce72125317ec1ac",
                "md5": "ecfb16c9c1f994b9deb5e9b30abb4909",
                "sha256": "7d1cb74be5e5ff74ee89e7cbac085d1d41d5980666eef1a1b7c261b34c3719d9"
            },
            "downloads": -1,
            "filename": "SpatialPrompt-0.0.6.tar.gz",
            "has_sig": false,
            "md5_digest": "ecfb16c9c1f994b9deb5e9b30abb4909",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 6899,
            "upload_time": "2024-06-11T05:15:22",
            "upload_time_iso_8601": "2024-06-11T05:15:22.186026Z",
            "url": "https://files.pythonhosted.org/packages/53/ab/ad382616cbec5f86f0060e413ad031438048bf9676bf1ce72125317ec1ac/SpatialPrompt-0.0.6.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-06-11 05:15:22",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "lcname": "spatialprompt"
}
        
Elapsed time: 0.37027s