{
  "id": 3631970,
  "title": "HIDE-Deconv: A hierarchical deconvolution framework for multiscale characterization of cellular remodeling",
  "url": "https://urgent.news/2026/08/26/hide-deconv-a-hierarchical-deconvolution-framework-for-multiscale",
  "topic": "science",
  "section": "Science",
  "published": "2026-08-26T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.08.24.746754v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Most deconvolution methods estimate cellular composition at a single level of cellular resolution despite biological processes often manifesting within fine-grained cellular subpopulations. We present HIDE-Deconv, a hierarchical deconvolution framework that jointly optimizes cellular compositions across multiple levels of a cell-type hierarchy while maintaining consistency between resolutions. In…",
  "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."
}