Learning with Recurrence Geometric AI in Spatial Transcriptomics
Recurrence geometric artificial intelligence (RGAI), a geometric deep-learning framework for discovering and aligning latent tissue states across heterogeneous spatial transcriptomic domains, is presented, demonstrating that integrating learned Riemannian geometry, recurrence analysis and optimal transport provides a r...