{
  "id": 5971,
  "url": "https://arxiv.org/abs/2604.11852v2",
  "title": "Limitations of Sequence-Based Protein Representations for Parkinson's Disease Classification: A Leakage-Free Benchmark",
  "summary": "The identification of reliable molecular biomarkers for Parkinson's disease remains challenging due to its multifactorial nature. Although protein sequences constitute a fundamental and widely available source of biological information, their standalone discriminative capacity for complex disease classification remains unclear. In this work, we present a controlled and leakage-free evaluation of multiple representations derived exclusively from protein primary sequences, including amino acid com",
  "authors": "César Jesús Núñez-Prado, Grigori Sidorov, Liliana Chanona-Hernández",
  "category": "research",
  "topics": "bias-fairness,biotech",
  "orgs": null,
  "regions": null,
  "published_at": "2026-04-13T03:54:24.000Z",
  "fetched_at": "2026-07-14T16:32:11.180Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/5971",
  "original_url": "https://arxiv.org/abs/2604.11852v2",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}