README.md

# Cell identification from scRNA-seq data with Variational Autoencoders

This is the repository containing all the materials for the tutorial on VAE for
scRNA-seq data presented on December, 8 2022 at the Digit-Bio seminar:

- a Python notebook to illustrate all the data processing workflow
- some slides to understand the models, the approaches, the datasets, ...
- some slides to set up the Python environment to run the notebook
- models folder contains all the Python code for the VAE models
- saved_model_parameters folder contains some parameter files to load
  pretrained VAE models
- data folder contains all the scRNA-seq data and Python objects used to load
  the data
- articles folder contains articles from the literature related and used in
  this tutorial