Metabolomic Dashboard for Interpretable Classification
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The maintainers of this project have marked this project as archived. No new releases are expected.
Project description
MeDIC
Metabolomic Dashboard for Interpretable Classification
Description
The MeDIC is a tool to apply machine learning algorithms to untargeted metabolomics datasets acquired by liquid-chromatography mass spectrometry. The goal is to extract the most important features because they are potential novel biomarkers. The interface is made to be easy to use and intuitive even for those with small to nonexistant experience in programming and AI.
The documentation
You can find the documentation here. It explains how to use MeDIC but also how it works.
Authors and contributors
Disclaimer
MeDIC is still in development. If you encounter any issue or have any suggestion, feel free to contact us at elina.francovic-fontaine.1@ulaval.ca. Or you can leave an issue here with the tag "bug".
Development
Setup
Clone the project with :
git clone https://github.com/ElinaFF/MeDIC.git
It is recommanded to setup a virtual environment. When it's done, use your isolated python and install medic package locally and in editable mode with :
python -m pip install -e ".[dev]"
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