A Library for Denoising Single-Cell Data with Random Matrix Theory
======== Randomly ========
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A Library for Denoising Single-Cell Data with Random Matrix Theory
- Free software: MIT license
- Instructions and Tutorial: http://52.201.223.58:1234/
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