scSAGA: Single-Cell Sampled Gromov Wasserstein Alignment

scSAGA is a scalable and memory-efficient optimal transport framework for integrating multi-modal single-cell data (scRNA-seq and scATAC-seq). It uses Single-Cell Sampled Gromov–Wasserstein Alignment to preserve manifold structure across paired and unpaired datasets.