Ensemble of methods to infer biological activities from omics data
Project description
decoupler - Ensemble of methods to infer biological activities
decoupler is a package containing different statistical methods to extract biological activities from omics data within a unified framework. This is its faster and memory efficient Python implementation, for the R version go here.
For further information and example tutorials, please check our documentation.
If you have any question or problem do not hesitate to open an issue.
Installation
To install the latest stable version run:
pip install decoupler
Alternatively, to stay up-to-date with the newest version, run:
pip install git+https://github.com/saezlab/decoupler-py.git
Citation
Badia-i-Mompel P., Vélez J., Braunger J., Geiss C., Dimitrov D., Müller-Dott S., Taus P., Dugourd A., Holland C.H., Ramirez Flores R.O. and Saez-Rodriguez J. 2021. decoupleR: Ensemble of computational methods to infer biological activities from omics data. bioRxiv. https://doi.org/10.1101/2021.11.04.467271
Project details
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
Built Distribution
Hashes for decoupler-1.0.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 02a6730f26c1288248f5244c81410155c7c36e12e57c14664ff8a6750802aa43 |
|
MD5 | cec95006ae505aa69ec1ffe880f5ad20 |
|
BLAKE2b-256 | 056df36d1071a12e13c26a02636061c4d680dd28495718a7b55d0d2e5733d8fe |