We tested DIABLO across a range of settings to show how well it performs in multi-omics integration. This includes:
- a simulation study showing that DIABLO is able to select correlated and discriminatory features.
- four multi-omics studies, integrating four omics datasets and benchmarked DIABLO against existing component-based supervised and unsupervised methods. We showed that the multi-omics biomarker signatures from DIABLO led to superior biological enrichment.
- two multi omics case studies in breast cancer and asthma, highlighting the versatility of DIABLO for various experimental designs (single point, repeated measurements, pathway module based).
📂 View all DIABLO case studies and R code