Single-cell multi-omics integration using Optimal Transport

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

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

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

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.

Multimodal Integration with Modality-agnostic Autoencoders - Developed by LMIB @ KU Leuven

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.

Curated and evolving portfolio of my computational genomics and bioinformatics projects, including data modeling, phylogenetic profiling, and multi-omics integration.

End-to-end computational platform for pharmaceutical-grade cancer biomarker discovery. Integrates multi-omics data, machine learning, and clinical validation frameworks for precision oncology applications.

Joint analysis single-cell and spatial transcriptomics data with stSCI

Geospatial Factors Shape the Human Brain-Gut-Microbiome System Minimal Reproducible Analysis: This repository ships a compact, execution‑ready subset of code to reproduce the manuscript’s core statistical findings: dose–response screens, cross‑modal integration (sPLS‑DA/DIABLO), and a publication‑style volcano plot.

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.

Codebase for manuscript titled "Quantifying the impact of mutations on enhancer dynamics"

2022-2023: A multi-omics biomedical text-mining pipeline for extracting protein-disease associations + a knowledge graph prediciton pipeline to predict protein-disease associations. Leverages biological knowledge bases, PubMed, and biomedical ontologies

Personal portfolio enumerating my main omic analyses projects