SpatialCOC: an integrative framework for spatial continuous mapping and cross-omics correction in spatial multi-omics data
Mingxuan Li, Peisen Sun, Yisi Luo, Guancheng Zhou, Xiaofei Yang, Deyu Meng, Kai Ye · 2026
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Description
Mingxuan Li and six co-authors present SpatialCOC, a framework that aligns the several molecular layers mapped across a tissue slice. Their work appeared in twenty twenty-six. Spatial multi-omics promises cell maps with chemistry attached, but each layer carries its own technical bias.
The method treats position as prior knowledge, learning each layer's spatial pattern first. Nonlinear links between layers are then uncovered on that shared ground. On real tissue data from several platforms, it found smooth, region-specific domains more faithfully than rivals. Trajectory inferences stayed consistent across batches, a common failure point. The design accepts layers of any size, keeping it flexible as new assays appear. The authors pitch cleaner maps for decoding tissue organization.
Catalog record
| CREATOR | Mingxuan Li, Peisen Sun, Yisi Luo, Guancheng Zhou, Xiaofei Yang, Deyu Meng, Kai Ye |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 69 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |