{ "info": { "author": "Luis Aparicio", "author_email": "la2666@cumc.columbia.edu", "bugtrack_url": null, "classifiers": [ "Development Status :: 4 - Beta", "Intended Audience :: Developers", "License :: OSI Approved :: MIT License", "Natural Language :: English", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.4", "Programming Language :: Python :: 3.5", "Programming Language :: Python :: 3.6", "Programming Language :: Python :: 3.7" ], "description": "========\nRandomly\n========\n\n\n.. image:: https://img.shields.io/pypi/v/randomly.svg\n :target: https://pypi.python.org/pypi/randomly\n\n.. image:: https://img.shields.io/travis/luisaparicio/randomly.svg\n :target: https://travis-ci.org/luisaparicio/randomly\n\n.. image:: https://readthedocs.org/projects/randomly/badge/?version=latest\n :target: https://randomly.readthedocs.io/en/latest/?badge=latest\n :alt: Documentation Status\n\n\n.. image:: https://pyup.io/repos/github/luisaparicio/randomly/shield.svg\n :target: https://pyup.io/repos/github/luisaparicio/randomly/\n :alt: Updates\n\n\n\nA Library for Denoising Single-Cell Data with Random Matrix Theory\n\n\n* Free software: MIT license\n* Documentation: https://randomly.readthedocs.io.\n\n\nFeatures\n--------\n\nRandomly is not yet published on PYPI. 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