Research theme 05
Proteomics & Multi-Omics Integration
Connecting genomic, transcriptomic, proteomic and other molecular data to investigate complementary biological signals.
Stated area of interest Named by KPCIRC as an area of scientific interest. Not a claim of an active funded project.
Each molecular layer offers a partial view. Multi-omic integration asks whether combining genomic, transcriptomic, proteomic and other data gives a more coherent picture of tumour biology, and how to handle disagreement between layers.
Questions of interest
- How should conflicting signals between molecular layers be reported?
- Which integration methods remain interpretable to clinicians?
- What sample and data-quality standards does integration require?
Approaches
- Data harmonisation and provenance tracking
- Interpretable integration methods
- Explicit reporting of cross-layer conflicts
Connection to clinical services
Relevant to the longitudinal view described for OnKommon TWIN and to biological-context reading in POAS.
Limitations
- Integrated models can appear more certain than their inputs justify.
- Proteomic and multi-omic tests are not routinely available for every patient.
Projects and outputs
No verified projects or publications are listed for this theme yet.