Data Harmonization for Multi-Omics
Integration Strategies
- Concatenation (early): merge all matrices -> dimension reduction
- Meta-analysis (late): analyze each omics separately -> combine results
- Factor analysis (intermediate): MOFA2, iCluster — learn shared latent factors
- Supervised (DIABLO): use sample labels to guide integration
Normalization by Data Type
[Description truncada. Veja o README completo no GitHub.]