Interpretable multi-omics integration with UMAP embeddings and density-based clustering
Pol Castellano‐Escuder, Derek K. Zachman, Kevin Han, Matthew D. Hirschey
GAUDI integrates multi-omics data using UMAP embeddings and density-based clustering to uncover non-linear relationships and identify interpretable latent factors across datasets.
bioRxiv · Oct 7, 2024 · PreprintBioinformatics