{
  "id": 19576669,
  "title": "SpaAxFormer: Fine-Grained Token Modeling of Spatial Transcriptomics with Axial Transformers",
  "url": "https://urgent.news/2026/11/11/spaaxformer-fine-grained-token-modeling-of-spatial-transcriptomics",
  "topic": "science",
  "section": "Science",
  "published": "2026-11-11T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.11.10.765756v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Spatial transcriptomics combines gene-expression measurements with spatial relationships between cells. We investigate how spatial context can be incorporated into gene-resolved representations while preserving explicit input-gene correspondence. SpaAxFormer is a spatially constrained factorized formulation that maintains contextual cell-gene states throughout the encoder. It first contextualizes…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}