[go: up one dir, main page]

Skip to content

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

License

Notifications You must be signed in to change notification settings

RabadanLab/randomly

Repository files navigation

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.