This repository contains the code used to process and analyse the data presented in the "Supervised latent factor modeling isolates cell-type-specific transcriptomic modules that underlie Alzheimer’s disease progression" paper.
Create the conda python environment:
conda env create -f environment.yaml
Notebook to run PLS-DA analysis: 1_fit_pls.ipynb
Notebook to analyze learned gene modules: 2_module_analysis.ipynb
Data to reproduce published figures: figure_source_data/