semvec/pypi-packages huggingface dataset:
bengrn 0.1.0
benchmarking gene regulatory networks
Requires Python: >=3.10,<4.0

# bengrn

[![codecov](https://codecov.io/gh/jkobject/benGRN/branch/main/graph/badge.svg?token=benGRN_token_here)](https://codecov.io/gh/jkobject/benGRN)
[![CI](https://github.com/jkobject/benGRN/actions/workflows/main.yml/badge.svg)](https://github.com/jkobject/benGRN/actions/workflows/main.yml)

Awesome Benchmark of Gene Regulatory Networks created by @jkobject

The package is supposed to work with [GRnnData](https://cantinilab.github.io/GRnnData/)
It can run Genie3 & pyscenic on your data as a comparison

It has 4 different types of key ground truth data to compare your GRN to:
- sushmita roy's ChIP+Perturb ground truth
- collectri's literature curated ground truth
- dorothea's literature curated ground truth
- tf2gene's chip curated ground truth

You can find the documentation [here](https://jkobject.com/benGRN/)

## Install it from PyPI

```bash
pip install bengrn
```

## Usage

```py
from bengrn import BenGRN
from bengrn import some_test_function

# a GRN in grnndata formart
grndata

BenGRN(grndata).do_tests()
#or
some_test_function(grndata)
```

see more in the notebooks in the docs folder or in the [documentation](https://jkobject.com/benGRN/)

## Development

Read the [CONTRIBUTING.md](CONTRIBUTING.md) file.
coopgt 0.0.2
A library for the study of cooperative game theory.
Requires Python: >=3.10

# CoopGT

A library for the study of cooperative game theory.

## Documentation

Full documentation is available here: http://coopgt.readthedocs.io/ it includes
a theory section.

## Installation

```bash
$ python -m pip install nashpy
```

## Development

Clone the repository and create a virtual environment:

```bash
$ git clone https://github.com/drvinceknight/coopgt.git
$ cd coopgt
$ python -m venv env

```

Activate the virtual environment and install [`tox`](https://tox.readthedocs.io/en/latest/):

```bash
$ source env/bin/activate
$ python -m pip install tox

```

Make modifications.

To run the tests:

```bash
$ python -m tox

```

## Code of conduct

In the interest of fostering an open and welcoming environment, all
contributors, maintainers and users are expected to abide by the Python code of
conduct: https://www.python.org/psf/codeofconduct/