Add-on for bioinformatics analysis of single cell data
Project description
The Single Cell add-on for [Orange3](http://orange.biolab.si) adds functionality for analysis of single cell data.
Installation
To install the add-on, run
pip install .
To register this add-on with Orange, but keep the code in the development directory (do not copy it to Python’s site-packages directory), run
pip install -e .
Documentation / widget help can be built by running
make html htmlhelp
from the doc directory.
Usage
After the installation, the widget from this add-on is registered with Orange. To run Orange from the terminal, use
python -m Orange.canvas
The new widget appears in the toolbox bar under the section Single Cell.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file Orange3-SingleCell-0.9.0.tar.gz.
File metadata
- Download URL: Orange3-SingleCell-0.9.0.tar.gz
- Upload date:
- Size: 7.4 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.20.0 setuptools/40.4.3 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.6.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 4cfac6612e167099a285dd6a13e39e44bcbc41093c49828b9d2a6c400721a62a |
|
| MD5 | b7cb7225db56f9d22377c3dd4ece8fa8 |
|
| BLAKE2b-256 | 2b8c605f592e766cd135eecd5b228a5c16e54efdbf47e9bff0d9ebc84db14474 |
