{ "info": { "author": "Will Townes", "author_email": "will.townes@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 3 - Alpha", "Intended Audience :: Science/Research", "License :: OSI Approved :: GNU Lesser General Public License v3 or later (LGPLv3+)", "Operating System :: OS Independent", "Programming Language :: Python :: 3", "Topic :: Scientific/Engineering", "Topic :: Scientific/Engineering :: Bio-Informatics" ], "description": "# Python package: glmpca\n\n[![Build Status](https://travis-ci.com/willtownes/glmpca-py.svg?branch=master)](https://travis-ci.com/willtownes/glmpca-py)\n\nGeneralized PCA for non-normally distributed data. If you find this useful please cite [Feature Selection and Dimension Reduction based on a Multinomial Model](https://www.biorxiv.org/content/10.1101/574574v1).\n\nAn [R implementation](https://github.com/willtownes/glmpca) is also available.\n\n## Issues and bug reports\n\nPlease use https://github.com/willtownes/glmpca-py/issues to submit issues, bug reports, and comments.\n\n\n", "description_content_type": "text/markdown", "docs_url": null, "download_url": "", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/willtownes/glmpca-py", "keywords": "", "license": "", "maintainer": "", "maintainer_email": "", "name": "glmpca", "package_url": "https://pypi.org/project/glmpca/", "platform": "", "project_url": "https://pypi.org/project/glmpca/", "project_urls": { "Homepage": "https://github.com/willtownes/glmpca-py" }, "release_url": "https://pypi.org/project/glmpca/0.1.0/", "requires_dist": null, "requires_python": ">=3.5", "summary": "Generalized PCA for dimension reduction of non-normally distributed data", "version": "0.1.0" }, "last_serial": 5969958, "releases": { "0.1.0": [ { "comment_text": "", "digests": { "md5": "68360157cd9013ec35f58fee98b1d965", "sha256": "6a8548123744b09298fc5e7c43e693bae89cc0384bd43639bc82858464bae5e6" }, "downloads": -1, "filename": "glmpca-0.1.0-py3-none-any.whl", "has_sig": false, "md5_digest": "68360157cd9013ec35f58fee98b1d965", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": ">=3.5", "size": 11696, "upload_time": "2019-10-14T05:09:53", "url": "https://files.pythonhosted.org/packages/04/e2/0fa2acd848c9c25f60b47e6b23f197faffaadae31d2f21a755dfe0a4604a/glmpca-0.1.0-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "26ff86daa302bce54ba2eabcade526d9", "sha256": "02267dc81b1417235d95152a2395d928bff3b503edc5b8d364ebbd1045575118" }, "downloads": -1, "filename": "glmpca-0.1.0.tar.gz", "has_sig": false, "md5_digest": "26ff86daa302bce54ba2eabcade526d9", "packagetype": "sdist", "python_version": "source", "requires_python": ">=3.5", "size": 8048, "upload_time": "2019-10-14T05:09:55", "url": "https://files.pythonhosted.org/packages/51/1d/102975b5aa01b46b0a22ee7adedf57b695eb79aa9e84a5690c2c4a67cf86/glmpca-0.1.0.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "68360157cd9013ec35f58fee98b1d965", "sha256": "6a8548123744b09298fc5e7c43e693bae89cc0384bd43639bc82858464bae5e6" }, "downloads": -1, "filename": "glmpca-0.1.0-py3-none-any.whl", "has_sig": false, "md5_digest": "68360157cd9013ec35f58fee98b1d965", "packagetype": "bdist_wheel", "python_version": "py3", "requires_python": ">=3.5", "size": 11696, "upload_time": "2019-10-14T05:09:53", "url": "https://files.pythonhosted.org/packages/04/e2/0fa2acd848c9c25f60b47e6b23f197faffaadae31d2f21a755dfe0a4604a/glmpca-0.1.0-py3-none-any.whl" }, { "comment_text": "", "digests": { "md5": "26ff86daa302bce54ba2eabcade526d9", "sha256": "02267dc81b1417235d95152a2395d928bff3b503edc5b8d364ebbd1045575118" }, "downloads": -1, "filename": "glmpca-0.1.0.tar.gz", "has_sig": false, "md5_digest": "26ff86daa302bce54ba2eabcade526d9", "packagetype": "sdist", "python_version": "source", "requires_python": ">=3.5", "size": 8048, "upload_time": "2019-10-14T05:09:55", "url": "https://files.pythonhosted.org/packages/51/1d/102975b5aa01b46b0a22ee7adedf57b695eb79aa9e84a5690c2c4a67cf86/glmpca-0.1.0.tar.gz" } ] }