{
  "id": 19500513,
  "title": "scDeepSim: Deep Generative Simulation for Controlled Benchmarking of Single-Cell Methods",
  "url": "https://urgent.news/2026/11/11/scdeepsim-deep-generative-simulation-for-controlled-benchmarking-of",
  "topic": "science",
  "section": "Science",
  "published": "2026-11-11T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.11.09.765456v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Benchmarking single-cell computational methods requires both realistic data and reliable ground truth. However, annotating real datasets is costly and, even when available, may not fully represent the diverse settings where methods are used. Simulators address this gap by generating synthetic data that has fully specified ground truth and whose structure can be tailored to challenge competing…",
  "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."
}