Region-aware bridge modeling enables interpretable mesoscale representation of spatial transcriptomic tissue sections
Seung-Hwan Kim, Guoqiang Yu · 2026
Read Region-aware bridge modeling enables interpretable mesoscale representation of spatial transcriptomic tissue sections by Seung-Hwan Kim, Guoqiang Yu (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13317975.txt.
Description
Seung-Hwan Kim and Guoqiang Yu introduce, in a 2026 methods paper, region-aware bridge modeling, a way to shrink high-detail gene maps of tissue into readable regional summaries without flattening away the layout. Spot-level spatial data are rich but hard to compare between slices.
Working on public colon and breast cancer sections, they built bridge features for tumor-like, fibroblast, muscle, and matrix programs, then averaged them over eight regions per slice. Shuffling region labels collapsed the measured variety almost to zero, proving the regional pattern real, and shifting the grid barely moved results. A fibroblast-to-matrix link survived extra checks. Extra sections from lung, prostate, and ovary tumors showed the workflow travels well.
Catalog record
| CREATOR | Seung-Hwan Kim, Guoqiang Yu |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 46837 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |