CellFreeGMF

Name	CellFreeGMF JSON
Version	0.0.1 JSON
	download
home_page	None
Summary	cfRNA
upload_time	2025-09-05 08:45:19
maintainer	None
docs_url	None
author	Wenxiang Zhang
requires_python	None
license	None
keywords	python windows mac linux cfrna cellfreegmf
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            
# CellFreeGMF v0.0.1

## Overview
we developed CellFreeGMF, an open-source Python package to identify cfRNA biomarkers and analyze the functional alterations in their originating cells. CellFreeGMF not only enables diagnostic classification of disease samples and identification of cfRNA biomarkers but also elucidate the functional alterations of cfRNA source cells based on cell-free transcriptome and single-cell sequencing data.

## Getting started
See [Documentation and Tutorials](https://cellfreegmf.readthedocs.io).

## Installation
cd CellFreeGMF-main

python setup.py build

python setup.py install

## Citation
Wenxiang Zhang, et al. "Integrative Biomarker Discovery and Cell-of-Origin Tracing from Cell-Free Transcriptomes via Graph Matrix Factorization with Comparative Single-Cell Landscape Modeling in Health and Disease." Submitted.

            

Raw data

            {
    "_id": null,
    "home_page": null,
    "name": "CellFreeGMF",
    "maintainer": null,
    "docs_url": null,
    "requires_python": null,
    "maintainer_email": null,
    "keywords": "python, windows, mac, linux, cfRNA, CellFreeGMF",
    "author": "Wenxiang Zhang",
    "author_email": null,
    "download_url": "https://files.pythonhosted.org/packages/3b/04/71b59c7867ac4cec26b4b22fc98383b749d52005e239ac33383a3e65c802/cellfreegmf-0.0.1.tar.gz",
    "platform": null,
    "description": "\n# CellFreeGMF v0.0.1\n\n## Overview\nwe developed CellFreeGMF, an open-source Python package to identify cfRNA biomarkers and analyze the functional alterations in their originating cells. CellFreeGMF not only enables diagnostic classification of disease samples and identification of cfRNA biomarkers but also elucidate the functional alterations of cfRNA source cells based on cell-free transcriptome and single-cell sequencing data.\n\n## Getting started\nSee [Documentation and Tutorials](https://cellfreegmf.readthedocs.io).\n\n## Installation\ncd CellFreeGMF-main\n\npython setup.py build\n\npython setup.py install\n\n## Citation\nWenxiang Zhang, et al. \"Integrative Biomarker Discovery and Cell-of-Origin Tracing from Cell-Free Transcriptomes via Graph Matrix Factorization with Comparative Single-Cell Landscape Modeling in Health and Disease.\" Submitted.\n",
    "bugtrack_url": null,
    "license": null,
    "summary": "cfRNA",
    "version": "0.0.1",
    "project_urls": null,
    "split_keywords": [
        "python",
        " windows",
        " mac",
        " linux",
        " cfrna",
        " cellfreegmf"
    ],
    "urls": [
        {
            "comment_text": null,
            "digests": {
                "blake2b_256": "3b0471b59c7867ac4cec26b4b22fc98383b749d52005e239ac33383a3e65c802",
                "md5": "5f7c78c20d3535c2033d178ce8644ccf",
                "sha256": "0dbc99c378cf133edd87020f9c7af5f25dcd99bf5b20f469e57c5f2f8d8ebef9"
            },
            "downloads": -1,
            "filename": "cellfreegmf-0.0.1.tar.gz",
            "has_sig": false,
            "md5_digest": "5f7c78c20d3535c2033d178ce8644ccf",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 8233,
            "upload_time": "2025-09-05T08:45:19",
            "upload_time_iso_8601": "2025-09-05T08:45:19.410665Z",
            "url": "https://files.pythonhosted.org/packages/3b/04/71b59c7867ac4cec26b4b22fc98383b749d52005e239ac33383a3e65c802/cellfreegmf-0.0.1.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2025-09-05 08:45:19",
    "github": false,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "lcname": "cellfreegmf"
}