{ "info": { "author": "githubuser8392", "author_email": "pypi@account.neomailbox.ch", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Environment :: Console", "Intended Audience :: Developers", "License :: OSI Approved :: GNU General Public License v2 (GPLv2)", "Natural Language :: English", "Operating System :: OS Independent", "Programming Language :: Python", "Topic :: Software Development :: Libraries :: Python Modules" ], "description": "microarray-quantilenorm\n=======================\n\n|Build Status|\n\n|Coverage Status|\n\nDocumentation\n-------------\n\n`microarray-quantilenorm\ndocumentation `__\n\nDescription\n~~~~~~~~~~~\n\nThis is an implementation of quantile normalization for microarray data\nanalysis.\n\nUsage\n~~~~~\n\n.. code:: bash\n\n python quantile_normalization CSV\n\n``microarray-quantilenorm`` will then do the following:\n\n- Output a list of expression values for genes of interest in each\n sample to stdout.\n- Create a PDF and PNG file graphing the distribution for each sample\n both before and after normalization.\n\nRestrictions\n~~~~~~~~~~~~\n\n1.) Each CSV file must contain the same gene set.\n\n2.) Each gene must be unique.\n\nExample:\n\n::\n\n > ABCD1 5.675\n > ABCD2 3.456\n > ABCD3 5.432\n\nRequirements\n~~~~~~~~~~~~\n\nMatplotlib = 1.4.3\n\nScipy = 0.5.1\n\nInstallation\n~~~~~~~~~~~~\n\n``pip install microarray-quantilenorm``\n\n.. |Build Status| image:: https://travis-ci.org/githubuser8392/microarray-quantilenorm.png?branch=develop\n :target: https://travis-ci.org/githubuser8392/microarray-quantilenorm\n.. |Coverage Status| image:: https://coveralls.io/repos/githubuser8392/microarray-quantilenorm/badge.png?branch=develop\n :target: https://coveralls.io/r/githubuser8392/microarray-quantilenorm?branch=develop\n", "description_content_type": null, "docs_url": null, "download_url": "UNKNOWN", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "http://github.com/githubuser8392/microarray-quantilenorm/", "keywords": null, "license": "GNU General Public License v2", "maintainer": null, "maintainer_email": null, "name": "microarray_quantilenorm", "package_url": "https://pypi.org/project/microarray_quantilenorm/", "platform": "any", "project_url": "https://pypi.org/project/microarray_quantilenorm/", "project_urls": { "Download": "UNKNOWN", "Homepage": "http://github.com/githubuser8392/microarray-quantilenorm/" }, "release_url": "https://pypi.org/project/microarray_quantilenorm/0.1008/", "requires_dist": null, "requires_python": null, "summary": "Quantile normalization of microarray data.", "version": "0.1008" }, "last_serial": 1536527, "releases": { "0.1008": [ { "comment_text": "", "digests": { "md5": "a2c589fea9a75d32f0aaec6e378fd93d", "sha256": "f052f290d947fb76a5d50bc1fdd2482d1aa51b84f02ca76dfd218c35377d7896" }, "downloads": -1, "filename": "microarray_quantilenorm-0.1008.tar.gz", "has_sig": false, "md5_digest": "a2c589fea9a75d32f0aaec6e378fd93d", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 3715, "upload_time": "2015-05-06T19:52:11", "url": "https://files.pythonhosted.org/packages/3f/3b/67d0bcba2398839affb7b7abebf4e3b50c0cea2fa3a7b38e63337d34ce61/microarray_quantilenorm-0.1008.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "a2c589fea9a75d32f0aaec6e378fd93d", "sha256": "f052f290d947fb76a5d50bc1fdd2482d1aa51b84f02ca76dfd218c35377d7896" }, "downloads": -1, "filename": "microarray_quantilenorm-0.1008.tar.gz", "has_sig": false, "md5_digest": "a2c589fea9a75d32f0aaec6e378fd93d", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 3715, "upload_time": "2015-05-06T19:52:11", "url": "https://files.pythonhosted.org/packages/3f/3b/67d0bcba2398839affb7b7abebf4e3b50c0cea2fa3a7b38e63337d34ce61/microarray_quantilenorm-0.1008.tar.gz" } ] }