{
  "id": 16801335,
  "title": "Benchmarking Large Language Models for Transcriptomic Data Analysis and Visualization: Multi-Model Workflow Evaluation",
  "url": "https://urgent.news/2026/10/27/benchmarking-large-language-models-for-transcriptomic-data-analysis",
  "topic": "science",
  "section": "Science",
  "published": "2026-10-27T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.10.22.761023v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "This study presents a comprehensive benchmarking evaluation of large language models(LLMs) and agentic coding systems for automated analysis and visualization workflows for transcriptomic data, in particular human responses to COVID-19 infection. Multiple models, including ChatGPT 5.5, Claude Sonnet 4.6, Gemini 3.1, and Llama4-Scout, were assessed across a series of scientific prompts designed to…",
  "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."
}