Feature selection method for Single Cell data.
Project description
# Triku - Feature selection for Single Cell Analysis 🦔 [](https://badge.fury.io/py/triku) [](https://github.com/alexmascension/triku) [](https://triku.readthedocs.io/en/latest/) [](https://codecov.io/gh/alexmascension/triku/branch/dev) [](https://github.com/psf/black) [](https://github.com/pre-commit/pre-commit) [](https://doi.org/10.5281/zenodo.4016715) [](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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