Article
Learning with Recurrence Geometric AI in Spatial Transcriptomics
2026-08-06
Abstract excerpt
Cross-domain analysis of spatial transcriptomics is challenging because tissues from different organs, diseases and experimental platforms exhibit distinct cellular compositions, spatial organisations and technical biases, making direct comparison of tissue states difficult. Existing methods primarily focus on domain integration or batch correction but generally do not explicitly model the intrinsic geometry under...
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Identifiers and source
- Literature Corpus work
- 523b491b-89a6-5287-a796-a11e2d55c387
- DOI
- 10.64898/2026.08.02.742287
