Randomly Save

A Library for Denoising Single-Cell Data with Random Matrix Theory

Project README

======== Randomly

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A Library for Denoising Single-Cell Data with Random Matrix Theory

Features

Randomly only works with Python 3 (not Python 2). The easiest way to install Randomly is via the command line with pip:

.. code-block:: shell

pip install randomly

It's convenient to run Randomly in a Jupyter Notebook_.

You can find detailed instructions and a hosted_ tutorial or one that can be run from your local_ machine.

.. _Jupyter Notebook: http://jupyter.org/ .. _hosted: http://52.201.223.58:1234/ .. _local: https://github.com/RabadanLab/randomlypage

Credits

This package was created with Cookiecutter_ and the audreyr/cookiecutter-pypackage_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter .. _audreyr/cookiecutter-pypackage: https://github.com/audreyr/cookiecutter-pypackage

Open Source Agenda is not affiliated with "Randomly" Project. README Source: RabadanLab/randomly

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