Metadata-Version: 1.1
Name: pypairs
Version: 0.1
Summary: Python implementation of the Pairs method described by A. Scialdone et al.
Home-page: https://github.com/rfechtner/pypairs
Author: Ron Fechtner
Author-email: ronfechtner@gmail.com
License: UNKNOWN
Description: A sample Python project

        =======================

        

        A sample project that exists as an aid to the `Python Packaging User Guide

        <https://packaging.python.org>`_'s `Tutorial on Packaging and Distributing

        Projects <https://packaging.python.org/en/latest/distributing.html>`_.

        

        This projects does not aim to cover best practices for Python project

        development as a whole. For example, it does not provide guidance or tool

        recommendations for version control, documentation, or testing.

        

        `The source for this project is available here

        <https://github.com/pypa/sampleproject>`_.

        

        Most of the configuration for a Python project is done in the ``setup.py``

        file, an example of which is included in this project. You should edit this

        file accordingly to adapt this sample project to your needs.

        

        ----

        

        This is the README file for the project.

        

        The file should use UTF-8 encoding and be written using `reStructuredText

        <http://docutils.sourceforge.net/rst.html>`_. It

        will be used to generate the project webpage on PyPI and will be displayed as

        the project homepage on common code-hosting services, and should be written for

        that purpose.

        

        Typical contents for this file would include an overview of the project, basic

        usage examples, etc. Generally, including the project changelog in here is not

        a good idea, although a simple "What's New" section for the most recent version

        may be appropriate.

        
Keywords: scRNA Pairs machine-learning
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3 :: Only
