An Interpretable Multi-instance Learner Decodes Cellular Recruitment from Spatially Resolved Transcriptomics
Jia Yao, Ji Seon Shim, Kelly Wong, James J. Zhu, Yunhe Liu, Sung Wook Kang, Kelli Bryan M. Burt, Jong Min Choi, Claire Lee, Idania Carolina Lubo Julio, Luisa Maren Solis Soto, Sharia Hernandez, Karen Colbert, Wei Lü, Khaja Khan, , Tao Wang
This study introduces a deep learning model called spacer to analyze spatially resolved transcriptomics data, revealing novel insights into cellular recruitment mechanisms in tumors and heart tissue during myocarditis.
bioRxiv · Nov 20, 2025 · PreprintBioinformatics