Feature selection method for Single Cell data.
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# 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
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