Multi-Omics Integration
Fusing many layers into one biology — integrating genome, transcriptome, proteome and microbiome for systems-level insight.
What this area is.
No single assay tells the whole story. Multi-omics integration jointly models DNA, RNA, protein and microbial layers to capture regulation and emergent biology that any one omic misses.
We use joint dimensionality reduction, similarity-network fusion and machine learning on integrated features — anchored in pathways — to build robust, interpretable multi-omic models for precision medicine.
Tools & technologies
What we do.
Core methods we apply in multi-omics integration.
Joint factor models
MOFA-style latent factors across omic layers.
Network fusion
Similarity-network fusion of patient profiles.
Integrated ML
Models that learn from combined multi-omic features.
Pathway integration
Mapping multi-omic signals onto shared pathways.
Microbiome multi-omics
Metagenomic + host data with machine learning.
Biomarker panels
Cross-omic signatures with clinical relevance.
From data to insight.
How a multi-omics integration project flows end to end.
Omic layers
DNA · RNA · protein · microbiome
Harmonise
QC & scaling
Integrate
factors / fusion
Model
ML on joint features
Pathways
biological grounding
Decide
precision-medicine output
Publication-grade figures.
Interactive, live-rendered visualisations used in multi-omics integration.
Where we go deep.
Microbiome & host
Integrated multi-omics with machine learning for precision medicine.
Systems biology
Regulation emerging from layered data.
Multi-omic biomarkers
Panels that outperform single-omic markers.
Questions we answer.
A few of the things people ask about multi-omics integration — and our short answers. Ask CGB-AI for more.
Why integrate omics?
Regulation crosses layers — a gene variant, its expression and protein output together explain phenotypes that one layer cannot.
How do you avoid noise?
Joint factor models and pathway grounding extract shared, biologically meaningful signal rather than layer-specific noise.
Publications in Multi-Omics Integration.
Drawn from our full record of 173 papers, filtered to this area.
Start a multi-omics integration project.
Tell us the biological question and the data you have — we will map out an approach.