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asistradition authored Aug 13, 2021
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#Ipython Notebook
.ipynb_checkpoints

# VSCode
.vscode
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# inferelator
# Inferelator 3.0

[![PyPI version](https://badge.fury.io/py/inferelator.svg)](https://badge.fury.io/py/inferelator)
[![CI](https://github.com/flatironinstitute/inferelator/actions/workflows/python-package.yml/badge.svg)](https://github.com/flatironinstitute/inferelator/actions/workflows/python-package.yml/)
[![codecov](https://codecov.io/gh/flatironinstitute/inferelator/branch/release/graph/badge.svg)](https://codecov.io/gh/flatironinstitute/inferelator)
[![Documentation Status](https://readthedocs.org/projects/inferelator/badge/?version=latest)](https://inferelator.readthedocs.io/en/latest/?badge=latest)

The [inferelator](https://doi.org/10.1186/gb-2006-7-5-r36) is a package for gene regulatory network inference that is based on regularized regression.
The [Inferelator 3.0](https://www.biorxiv.org/content/10.1101/2021.05.03.442499v2) is a package for gene regulatory network inference that is based on regularized regression.
It is an update of the [Inferelator 2.0](https://ieeexplore.ieee.org/document/5334018), which is an update of the original [Inferelator](https://doi.org/10.1186/gb-2006-7-5-r36)
It is maintained by the Bonneau lab in the [Systems Biology group of the Flatiron Institute](https://www.simonsfoundation.org/flatiron/center-for-computational-biology/systems-biology/).

This repository is the actively developed inferelator package for python. It works for both single-cell and bulk transcriptome experiments.
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