文章介绍了一种名为 GeneAgent 的新型 AI 语言代理，专为 基因集分析 设计。GeneAgent 旨在通过 自主与生物数据库交互以验证其输出 的方式，来 减少大型语言模型 (LLMs) 在生成基因功能描述时可能出现的“幻觉” 或事实错误。研究表明，与 GPT-4 等现有 LLMs 相比，GeneAgent 在准确性上表现出显著提升，并能为新基因集提供更具相关性和全面性的功能描述，从而 加速生物学知识的发现。文章还详细阐述了 GeneAgent 的 四阶段工作流程（生成、自验证、修改和总结），并强调了 专家策划的领域数据库 在其性能中的关键作用。References: Wang Z, Jin Q, Wei C H, et al. GeneAgent: self-verification language agent for gene-set analysis using domain databases[J]. Nature Methods, 2025: 1-9.
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