This project demonstrates how to integrate multi-omics data using a Variational Autoencoder (VAE) and subsequently perform dimensionality reduction and feature importance analysis using Principal ...

This repository contains a Python implementation of a Variational Autoencoder (VAE), a generative model that learns to encode and decode data into a latent space. The implementation is designed to be ...