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...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-04-01
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| Series: | Statistical Theory and Related Fields |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/24754269.2025.2495651 |
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