Explainable graph learning for multimodal single-cell data integration

SCPRO-VI offers a robust and interpretable framework for integrating paired single-cell multi-omic data. Its ability to enhance cell type separation and uncover meaningful sub-clusters suggests its utility in advancing our understanding of cellular diversity and regulatory mechanisms in complex tissues.