/randomly

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

Primary LanguageJupyter NotebookMIT LicenseMIT

Randomly

Documentation Status Updates

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:

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.

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.