FineST: contrastive learning integrates histology and spatial transcriptomics for nuclei-resolved ligand-receptor analysis
Abstract Spatial transcriptomics (ST) has emerged as a powerful tool for analyzing cell-cell communication (CCC) across various biological processes, ranging from embryonic development to cancer progression. However, its limited resolution and high data sparsity hinder the detailed characterization...
Сохранить в:
| Главные авторы: | , , , , , , |
|---|---|
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Nature Portfolio
2026-03-01
|
| Серии: | Nature Communications |
| Online-ссылка: | https://doi.org/10.1038/s41467-026-70528-7 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
|