{
  "id": 14128824,
  "title": "Optimizing copy number profiles for tumor cell phylogeny inference from low-coverage single-cell sequencing data",
  "url": "https://urgent.news/2026/10/12/optimizing-copy-number-profiles-for-tumor-cell-phylogeny-inference",
  "topic": "science",
  "section": "Science",
  "published": "2026-10-12T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.10.05.756871v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Motivation: Accurate reconstruction of tumor cell phylogenies is crucial for understanding cancer evolutionary dynamics, inferring intra-tumor heterogeneity, and designing effective and personalized cancer treatment strategies. One of the most promising and cost-effective approaches for reconstructing tumor phylogenies for large numbers of cells is to use copy number alteration (CNA) data…",
  "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."
}