A Library for Denoising Single-Cell Data with Random Matrix Theory
Project description
Randomly
A Library for Denoising Single-Cell Data with Random Matrix Theory
Free software: MIT license
Documentation: https://randomly.readthedocs.io.
Features
Randomly is not yet published on PYPI. For now install directly from github:
pip install --upgrade git+https://github.com/RabadanLab/randomly.gitCredits
This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.
History
0.1.0 (2018-10-29)
First release on PyPI.
Release history Release notifications | RSS feed
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