{
  "id": 947815,
  "title": "Covariance Nonstationarity is Evident in Spatial Transcriptomics and Provides a New Categorization of Spatially Varying Genes",
  "url": "https://urgent.news/2026/08/14/covariance-nonstationarity-is-evident-in-spatial-transcriptomics-and",
  "topic": "science",
  "section": "Science",
  "published": "2026-08-14T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.08.10.743911v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Background: Gaussian process models underlie many spatial transcriptomics tools but typically assume stationary covariance. While typically ignored, non-stationarity of spatial covariance in gene expression may correspond to tissue heterogeneity or cell aggregates. Results: Across 13 Visium datasets, we use approximate Bayes factors from R-INLA to compare stationary and non-stationary Matern…",
  "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."
}