Rebecca Santorella

SCOT uses Gromov-Wasserstein optimal transport to align single-cell multi-omics data without requiring correspondence information for hyperparameter tuning, performing on par with state-of-the-art methods but faster.

The paper improves SCOT for integrating single-cell multi-omics datasets with imbalanced cell-type representation and varying sample sizes, showing better alignment performance on real-world datasets.