{
  "id": 17729163,
  "title": "Gene Embedding Hub: a standardized resource for human gene representations",
  "url": "https://urgent.news/2026/11/01/gene-embedding-hub-a-standardized-resource-for-human-gene",
  "topic": "science",
  "section": "Science",
  "published": "2026-11-01T00:00:00.000Z",
  "source": {
    "name": "bioRxiv",
    "slug": "biorxiv",
    "url": "https://www.biorxiv.org/content/10.64898/2026.10.29.762818v1?rss=1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Gene embeddings are vector representations of gene identity that provide machine-learning models with information from diverse biological sources. However, their use is hindered by a lack of standardization: inconsistent identifiers, formats, and preprocessing conventions. In this work, we present a unified resource of 67 human gene-embedding sets derived from protein, DNA and RNA sequences,…",
  "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."
}