GSHAPA

Name	GSHAPA JSON
Version	0.1 JSON
	download
home_page	None
Summary	Gene Set Analysis for Single-Cell RNA-seq Using Random Forest and SHAP Valuese
upload_time	2024-12-12 11:03:48
maintainer	None
docs_url	None
author	None
requires_python	>=3.8
license	None
keywords
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # GSHAPA: Gene Set Analysis for Single-Cell RNA-seq Using Random Forest and SHAP Values

<div style="display: flex; justify-content: center;">
 <img src="logo.webp" height="250">
</div>

This Python package Gene Set Analysis for Single-Cell RNA-seq Using Random Forest and SHAP Values

### Installation:

`pip install gshapa`

### Documentation:

[grenadine.readthedocs.io](https://grenadine.readthedocs.io/en/latest/)

### Tutorials:

Check the jupyter notebook tutorials located in the __tutorial__ folder
+ `simulator.ipynb` for the assessment of the method on synthetic data
+ `MS-dataset-RF-1percent.ipynb`, `DN-RF-1percent.ipynb`, `DII-RF-1percent.ipynb`, `COVID-RF-1percent.ipynb` and `AD-RF-1percent.ipynb` for different bio-medical applications

### Authors:

For bug reports and feedback do not hesitate to contact the authors

+ Sergio Peignier: sergio.peignier AT insa-lyon.fr
+ Sara Khademioureh: khademio AT ualberta.ca

### Maintainer:

+ Sergio Peignier: sergio.peignier AT insa-lyon.fr
            

Raw data

            {
    "_id": null,
    "home_page": null,
    "name": "GSHAPA",
    "maintainer": null,
    "docs_url": null,
    "requires_python": ">=3.8",
    "maintainer_email": null,
    "keywords": null,
    "author": null,
    "author_email": "Sara Khademioureh <khademio@ualberta.ca>, Sergio Peignier <sergio.peignier@insa-lyon.fr>",
    "download_url": "https://files.pythonhosted.org/packages/71/f2/336a6333bcdb0a534298dae0b2b79891ce52ce5a8d21e20f7a2c8637f5fa/gshapa-0.1.tar.gz",
    "platform": null,
    "description": "# GSHAPA: Gene Set Analysis for Single-Cell RNA-seq Using Random Forest and SHAP Values\n\n<div style=\"display: flex; justify-content: center;\">\n <img src=\"logo.webp\" height=\"250\">\n</div>\n\nThis Python package Gene Set Analysis for Single-Cell RNA-seq Using Random Forest and SHAP Values\n\n### Installation:\n\n`pip install gshapa`\n\n### Documentation:\n\n[grenadine.readthedocs.io](https://grenadine.readthedocs.io/en/latest/)\n\n### Tutorials:\n\nCheck the jupyter notebook tutorials located in the __tutorial__ folder\n+ `simulator.ipynb` for the assessment of the method on synthetic data\n+ `MS-dataset-RF-1percent.ipynb`, `DN-RF-1percent.ipynb`, `DII-RF-1percent.ipynb`, `COVID-RF-1percent.ipynb` and `AD-RF-1percent.ipynb` for different bio-medical applications\n\n### Authors:\n\nFor bug reports and feedback do not hesitate to contact the authors\n\n+ Sergio Peignier: sergio.peignier AT insa-lyon.fr\n+ Sara Khademioureh: khademio AT ualberta.ca\n\n### Maintainer:\n\n+ Sergio Peignier: sergio.peignier AT insa-lyon.fr",
    "bugtrack_url": null,
    "license": null,
    "summary": "Gene Set Analysis for Single-Cell RNA-seq Using Random Forest and SHAP Valuese",
    "version": "0.1",
    "project_urls": {
        "Homepage": "https://gitlab.com/bf2i/gshapa",
        "Issues": "https://gitlab.com/bf2i/gshapa/issues"
    },
    "split_keywords": [],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "1cf629cd50af1a2d3f66cccb1080de81003ba93466399a31ae12572ef18b0c74",
                "md5": "217d1415377f756a70ad5efc40bbaa3b",
                "sha256": "35f7bea84ac00f6e345e28fe8b6cfe24311a98b326fa43d5f0fcaadbb396dc91"
            },
            "downloads": -1,
            "filename": "gshapa-0.1-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "217d1415377f756a70ad5efc40bbaa3b",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.8",
            "size": 16636,
            "upload_time": "2024-12-12T11:03:44",
            "upload_time_iso_8601": "2024-12-12T11:03:44.806125Z",
            "url": "https://files.pythonhosted.org/packages/1c/f6/29cd50af1a2d3f66cccb1080de81003ba93466399a31ae12572ef18b0c74/gshapa-0.1-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "71f2336a6333bcdb0a534298dae0b2b79891ce52ce5a8d21e20f7a2c8637f5fa",
                "md5": "cc07f95f7fbb70477b9d603d1dd5571a",
                "sha256": "3e8b41c6c13f69167ab623463a0c3bf1b65483819c9f195d4a422122c9cb55d4"
            },
            "downloads": -1,
            "filename": "gshapa-0.1.tar.gz",
            "has_sig": false,
            "md5_digest": "cc07f95f7fbb70477b9d603d1dd5571a",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.8",
            "size": 3212422,
            "upload_time": "2024-12-12T11:03:48",
            "upload_time_iso_8601": "2024-12-12T11:03:48.324293Z",
            "url": "https://files.pythonhosted.org/packages/71/f2/336a6333bcdb0a534298dae0b2b79891ce52ce5a8d21e20f7a2c8637f5fa/gshapa-0.1.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-12-12 11:03:48",
    "github": false,
    "gitlab": true,
    "bitbucket": false,
    "codeberg": false,
    "gitlab_user": "bf2i",
    "gitlab_project": "gshapa",
    "lcname": "gshapa"
}