A Bayesian hierarchical model with spatially varying dispersion for reference-free cell type deconvolution in spatial transcriptomics
A major challenge in spatial transcriptomics (ST) is resolving cellular composition, especially in technologies lacking single-cell resolution. The mixture of transcriptional signals within spatial spots complicates deconvolution and downstream analyses. To uncover the spatial heterogeneity of tissu...
Sparad:
| Huvudupphov: | , , , |
|---|---|
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Utgiven: |
Taylor & Francis Group
2025-04-01
|
| Serie: | Statistical Theory and Related Fields |
| Ämnen: | |
| Länkar: | https://www.tandfonline.com/doi/10.1080/24754269.2025.2495651 |
| Taggar: |
Inga taggar, Lägg till första taggen!
|