Single-cell multi-omics integration using Optimal Transport

A python framework for microbial natural products data mining by integrating genomics and metabolomics data

MOGONET (Multi-Omics Graph cOnvolutional NETworks) is multi-omics data integrative analysis framework for classification tasks in biomedical applications.

PathIntegrate Python package for pathway-based multi-omics data integration

COSMOS is a computational tool crafted to overcome the challenges associated with integrating spatially resolved multi-omics data. This software harnesses a graph neural network algorithm to deliver cutting-edge solutions for analyzing biological data that encompasses various omics types within a spatial framework.

SMART is a computational framework for spatial multi-omic integration. SMART leverages a modality-independent modular and stacking framework with spatial coordinates and adjusts the aggregation using triplet relationships.

Joint analysis single-cell and spatial transcriptomics data with stSCI

Code repository for "MyeVAE: A multi-omics variational autoencoder for predicting mortality in newly diagnosed myeloma patients"

NetICS: network-based integration of multi-omics data for prioritizing cancer genes

A multiomics variational autoencoder for risk prediction in newly diagnosed multiple myeloma

Project from workshop "Introduction to multi-omics data integration and visualisation" @embl-ebi

Complete scripts used to produce the results of Imperial MRes Biomedical Research - Data Science 2024-2025 Project 1.

Interpretable multimodal neural network framework that integrates single-cell and spatial omics through biologically constrained, concept-bottleneck architectures.

Personal portfolio enumerating my main omic analyses projects

COMPARISON OF MULTI-OMICS INTEGRATION METHODS

ML based AI tool for personalised medicine utilising multi-omics data

Multi-omics integration for the classification of functional high risk patients in multiple myeloma.

Reproducibility repo for Shashikadze et al. "Multi-omics profiling of lungs from genetically diabetic pigs reveals reduced ALOX15 levels and impaired eicosanoid switching as mechanisms contributing to a proinflammatory milieu".