mricloudpy

mricloudpy is a Python library for handling MRICloud output data.

Description

mricloudpy is a library designed to streamline the data processing, analysis, and visualization of subject-specific hierarchical volumetric MRICloud data. This free and open-source library provides a suite of tools to create and manage dataset objects, including a web app GUI.

Installation

Use the package manager pip to install mricloudpy.

pip install mricloudpy

Alternatively, clone this repository and install the package locally.

Running web app GUI

To use the web app GUI, clone this repository and install panel and jupyter as well:

pip install panel jupyter

Then start the Bokeh server on your local machine:

cd ./app
panel serve app.py

Documentation and usage

Documentation for the library can be found here.

Contributing

To contribute to mricloudpy, follow these steps:

Step 1

Fork this repository.

Step 2

Clone the repository to your local machine:

git clone https://github.com/username/repository.git

Step 3

Create a branch:

git checkout -b '<branch_name>'

Step 4

Make your changes and commit them to the branch:

git add .
git commit -m '<commit_message>'

Step 5

Push the branch to the forked repository:

git push origin '<branch_name>'

Step 6

Create a pull request. See the GitHub documentation on creating a pull request.

Please provide clear and detailed information about the changes in your pull request.

Thank you for your interest in contributing to our project!

License

Distributed under the MIT License. See LICENSE.txt for more information.

Acknowledgements

• Johns Hopkins Bloomberg School of Public Health Department of Biostatistics
• Caffo Lab