Correcting spatial transcriptomics data affected by a prevalent transcript leakage problem across platforms, species, and tissues
Christina Huan Shi, Yibo Zhai, Savio Ho-Chit Chow, Li Li, Chase Matthew Carver, Marcos G. Teneche, Jesus Flores, Colin Kern, Peter D. Adams, Bing Ren, Marissa J. Schafer, Quan Zhu, Yingying Wei, Kevin Yuk-Lap Yip
The paper identifies a widespread transcript leakage issue in spatial transcriptomics and introduces DeLeakage, a Bayesian method that improves data cleaning and cell-type annotation.
bioRxiv · Jun 17, 2026 · PreprintBioinformatics