Metadata-Version: 2.4
Name: triku
Version: 2.2.0
Summary: Feature selection method for Single Cell data.
Author-email: "Alex M. Ascensión" <alexmascension@gmail.com>
License: BSD
Project-URL: repository, https://gitlab.com/alexmascension/triku
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Natural Language :: English
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: scipy
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: scanpy
Requires-Dist: cython
Requires-Dist: tqdm
Requires-Dist: bottleneck
Dynamic: license-file

# Triku - Feature selection for Single Cell Analysis 🦔
[![PyPI version](https://badge.fury.io/py/triku.svg)](https://badge.fury.io/py/triku)
[![example workflow](https://github.com/alexmascension/triku/actions/workflows/triku_cicd.yml/badge.svg)](https://github.com/alexmascension/triku)
[![Docs](https://readthedocs.org/projects/triku/badge/?version=latest)](https://triku.readthedocs.io/en/latest/)
[![codecov](https://codecov.io/gh/alexmascension/triku/branch/dev/graph/badge.svg)](https://codecov.io/gh/alexmascension/triku/branch/dev)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)
[![pre-commit](https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white)](https://github.com/pre-commit/pre-commit)
[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.4016715.svg)](https://doi.org/10.5281/zenodo.4016715)
[![Downloads](https://pepy.tech/badge/triku)](https://pepy.tech/project/triku)



 ## **THIS PROJECT IS ARCHIVED** You can see it at our [**Github repo**](https://github.com/alexmascension/triku)



Triku (hedgehog in euskera) is a feature selection method prepared for scRNA-seq.

Look at [the docs](https://triku.readthedocs.io/en/latest/) to learn more about triku!
You can visit the notebooks at out [notebook repo](https://github.com/alexmascension/triku_notebooks)!


## Cite us!
If you want to learn more about how triku works, you can read our paper. Don't forget to cite it if you find triku useful!

> Alex M Ascensión, Olga Ibáñez-Solé, Iñaki Inza, Ander Izeta, Marcos J Araúzo-Bravo, Triku: a feature selection method based on nearest neighbors for single-cell data, GigaScience, Volume 11, 2022, giac017, https://doi.org/10.1093/gigascience/giac017
