Multi-Omics Factor Analysis

muon is a multimodal omics Python framework

Multimodal Data (.h5mu) implementation for Python

MOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations

Multi-omics Autoencoder Integration: Deep learning-based heterogenous data analysis toolkit

Multi-task deep learning framework for multi-omics data analysis

Deep learning model for single-cell inference of multi-omic profiles from a single input modality.

Single-cell multi-omics integration using Optimal Transport

Model-based Genomically Informed High-dimensional Predictor of Microbial Community Metabolic Profiles

A bioinformatics API to interface with public multi-omics bio databases for wicked fast data integration.

R package for High dimensional data analysis and integration with O2PLS!

Muon for Julia

.h5mu files interface for Seurat

Time-Course Multi-Omics data integration

Analyses for "State of the field in multi-omics research: from computational needs to data mining and sharing"

Disease subnetwork detection with explainable Graph Neural Networks

Molecular interactions inference from single-cell multi-omics data

Python toolbox for multi-omics data mapping and analysis

Flexible omics pipeline

Integrated Machine Learning for Multi-omics Classification and Prediction