RabadanLab / randomly

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

Home Page:https://rabadanlab.github.io/randomlysite/src/index.html

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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.

About

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

https://rabadanlab.github.io/randomlysite/src/index.html

License:MIT License


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