English(EN) Homo-RAG: Homology-Guided Retrieval-Augmented Generation for Cross-Species Gene Function Prediction

新的Homo-RAG框架使用LLM进行跨物种基因功能预测

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-26 07:33

研究人员开发了Homo-RAG，一个使用大型语言模型预测不同物种基因功能的新颖框架。该系统集成了同源性引导检索和证据感知排序，利用斑马鱼和人类基因之间的生物学关系。通过查询ZFIN、UniProt和PubMed等数据库，Homo-RAG使用证据置信度分数（Evidence Confidence Score）来优化证据排序，显著提高了基因功能预测的准确性和相关性。 AI

影响该框架通过提高研究不足的生物体中基因功能注释的效率和准确性，有可能加速生物学研究。

排序理由该条目是一篇研究论文，详细介绍了一种新的基因功能预测计算框架。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.NE (Neural & Evolutionary) 阅读 →

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arXiv cs.NE (Neural & Evolutionary) TIER_1 English(EN) · Azrin Sultana · 2026-08-26 07:33

Homo-RAG：同源性引导的检索增强生成用于跨物种基因功能预测

The functional annotation of genes in non-model organisms remains a significant challenge in computational biology, with 20-70% of sequenced genes lacking characterized functions. Traditional homology-based methods are often costly and strongly dependent on high sequence similari…

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Homo-RAG：同源性引导的检索增强生成用于跨物种基因功能预测

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