3D spatially resolved Clustering and Network analysis pipeline for metabolomics of immune compositions in tissues

Here regroup the code for the paper “Spatially resolved 3D metabolomic profiling in tissues“.

This repository shows the framework for using unsupervised machine learning algorithms for 3D Spatially-resolved Metabolomics and network analysis.

You can download the detailed code: Code

The webpage comports  jupyter notebook code for generating:

• Transform txt file from TOF-SIMS to numpy array
• 3D resolved correlation heatmap
• Isotope information extraction
• 3D K-means clustering
• Tsne-map