A set of tools in Python for multiscale graph correlation and other statistical tests
Project description
# mgcpy
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`mgcpy` is a Python package containing tools for multiscale graph correlation and other statistical tests, that is capable of dealing with high dimensional and multivariate data.
## Installation Guide:
### Install from PyPi
```
pip3 install mgcpy
```
### Install from Github
```
git clone https://github.com/NeuroDataDesign/mgcpy
cd mgcpy
python3 setup.py install
```
- `sudo`, if required
- `python3 setup.py build_ext --inplace # for cython`, if you want to test in-place, first execute this
## Setting up the development environment:
- Install [docker](https://docs.docker.com/install/)
- Build the docker image, `docker build -t mgcpy-dev:latest .`
- This takes 10 to 15 mins to build
- Launch the container to go into mgcpy's dev env, `docker run -it --rm --name mgcpy-dev-env mgcpy-dev`
## MGC Algorithm's Flow
![MGCPY Flow](MGCPY.png)
## License
This project is covered under the **Apache 2.0 License**.
[![Coverage Status](https://coveralls.io/repos/github/NeuroDataDesign/mgcpy/badge.svg?branch=master)](https://coveralls.io/github/NeuroDataDesign/mgcpy?branch=master)
[![Build Status](https://travis-ci.com/NeuroDataDesign/mgcpy.svg?branch=master)](https://travis-ci.com/NeuroDataDesign/mgcpy)
[![PyPI](https://img.shields.io/pypi/v/mgcpy.svg)](https://pypi-hypernode.com/project/mgcpy/)
[![PyPI - Downloads](https://img.shields.io/pypi/dm/mgcpy.svg)](https://pypi-hypernode.com/project/mgcpy/)
[![DOI](https://zenodo.org/badge/147731955.svg)](https://zenodo.org/badge/latestdoi/147731955)
[![Documentation Status](https://readthedocs.org/projects/mgcpy/badge/?version=latest)](https://mgcpy.readthedocs.io/en/latest/?badge=latest)
[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
[![PEP8](https://img.shields.io/badge/code%20style-pep8-orange.svg)](https://www.python.org/dev/peps/pep-0008/)
<a href="https://codeclimate.com/github/NeuroDataDesign/mgcpy/maintainability"><img src="https://api.codeclimate.com/v1/badges/979888a65926b3f27971/maintainability" /></a>
`mgcpy` is a Python package containing tools for multiscale graph correlation and other statistical tests, that is capable of dealing with high dimensional and multivariate data.
## Installation Guide:
### Install from PyPi
```
pip3 install mgcpy
```
### Install from Github
```
git clone https://github.com/NeuroDataDesign/mgcpy
cd mgcpy
python3 setup.py install
```
- `sudo`, if required
- `python3 setup.py build_ext --inplace # for cython`, if you want to test in-place, first execute this
## Setting up the development environment:
- Install [docker](https://docs.docker.com/install/)
- Build the docker image, `docker build -t mgcpy-dev:latest .`
- This takes 10 to 15 mins to build
- Launch the container to go into mgcpy's dev env, `docker run -it --rm --name mgcpy-dev-env mgcpy-dev`
## MGC Algorithm's Flow
![MGCPY Flow](MGCPY.png)
## License
This project is covered under the **Apache 2.0 License**.
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