BioinformaticsbioRxivPreprint
Tissue tearing degrades optimal-transport and diffeomorphic registration of spatial transcriptomics beyond displacement magnitude: a multi-seed deformation benchmark and a supervised graph cross-attention proof-of-concept.
Rushil Kartik Maniar, Sean Lee, Sunyoung S. Lee
This paper benchmarks registration methods for spatial transcriptomics under tissue tearing and introduces a supervised graph model, finding that tearing degrades performance across methods and that a learned model performs better in-sample but not across donors.
DOI 10.64898/2026.06.30.735390