Multi-Omics Factor Analysis

muon is a multimodal omics Python framework

Conversational & memory-enabled AI research partner for multi-omics analysis. CLI + Desktop App (installers in Releases). From biological idea to full research paper.

Multimodal Data (.h5mu) implementation for Python

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

Single-cell multi-omics integration using Optimal Transport

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.

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

HiCFoundation is a generalizable Hi-C foundation model for chromatin architecture, single-cell and multi-omics analysis across species.

factor models for omics data

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!

.h5mu files interface for Seurat

Integrated Machine Learning for Multi-omics Classification and Prediction

Molecular interactions inference from single-cell multi-omics data

Muon for Julia

Python toolbox for multi-omics data mapping and analysis

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