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.
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
Personal portfolio enumerating my main omic analyses projects
Joint analysis single-cell and spatial transcriptomics data with stSCI
Complete scripts used to produce the results of Imperial MRes Biomedical Research - Data Science 2024-2025 Project 1.
COMPARISON OF MULTI-OMICS INTEGRATION METHODS
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".
ML based AI tool for personalised medicine utilising multi-omics data
A multiomics variational autoencoder for risk prediction in newly diagnosed multiple myeloma
Multi-omics integration for the classification of functional high risk patients in multiple myeloma.
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