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.
1 maintainer
Metadata
1 maintainer
Release files for randomly 0.1.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| randomly-0.1.5.tar.gz | 23.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| randomly-0.1.5-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 42.2 kB
Release files / randomly-0.1.5.tar.gz
| Download URL | randomly-0.1.5.tar.gz |
|---|---|
| Size | 23.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/1.12.1 pkginfo/1.4.2 requests/2.20.0 setuptools/40.5.0 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.7.0
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Release files / randomly-0.1.5-py2.py3-none-any.whl
| Download URL | randomly-0.1.5-py2.py3-none-any.whl |
|---|---|
| Size | 18.8 kB |
| Tags | Python 2 Python 3 |
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SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.12.1 pkginfo/1.4.2 requests/2.20.0 setuptools/40.5.0 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.7.0
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