Article

Physics-inspired computational methods for spatial transcriptomics reveal a dysplasia-restricted pre-malignant basin and a density-asymmetric autocrine niche in oral mucosal carcinogenesis

2026-04-29

Abstract excerpt

Spatial transcriptomics is often interpreted with tools that do not explicitly encode tissue-scale physical priors such as finite ligand diffusion, density-based state stability, or self-exciting spatial recruitment. We introduce three compact computational methods and apply them to a 326,554-cell spatial atlas of human oral mucosal carcinogenesis spanning normal mucosa, hyperplasia, oral lichen planus, and dyspla...

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Literature Corpus work: 30ef1d3a-a29f-51ff-b8a7-89f69958a38f
DOI: 10.64898/2026.04.27.721026

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