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.
Code repository for "MyeVAE: A multi-omics variational autoencoder for predicting mortality in newly diagnosed myeloma patients"
Joint analysis single-cell and spatial transcriptomics data with stSCI
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"
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
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