A package for spatial lipidomics data analysis including preprocessing, embedding, clustering, postprocessing, case-control analysis, and plotting.
Project description
EUCLID
Enhanced uMAIA for CLustering Lipizones, Imputation and Differential Analysis.
This package provides tools for spatial lipidomics data analysis with the following modules:
- Preprocessing
- Embedding
- Clustering
- Postprocessing
- Case-Control Analysis
- Plotting
EUCLID, available as a package, runs downstream of uMAIA (https://github.com/lamanno-epfl/uMAIA). A tutorial illustrating all its functions is available in this repo. EUCLID is still very much work in progress and just partially tested, so we expect corner cases to be all around. If you try EUCLID, we would love to hear from you!
EUCLID was developed by Luca Fusar Bassini in the La Manno and D'Angelo Labs at EPFL (2023-2025), for the Lipid Brain Atlas project. The name was inspired from the beautiful Sleep Token song: https://www.youtube.com/watch?v=DDdByJYUVeA
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