2604.01438 Integrative Analysis of Multi-Omics Data via Sparse Canonical Correlation Identifies 14 Novel Gene-Metabolite Associations in Type 2 Diabetes
Integrating genomic, transcriptomic, and metabolomic data reveals disease mechanisms invisible to single-omics analyses. We apply sparse canonical correlation analysis (sCCA) to 2,847 T2D patients and 3,124 controls from 3 cohorts.