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arXiv · 2410.10899

GPTON: Generative Pre-trained Transformers enhanced with Ontology Narration for accurate annotation of biological data

Rongbin Li·Wenbo Chen·Jinbo Li·Hanwen Xing·Hua Xu·Zhao Li·W. Jim Zheng
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Abstract

By leveraging GPT-4 for ontology narration, we developed GPTON to infuse structured knowledge into LLMs through verbalized ontology terms, achieving accurate text and ontology annotations for over 68% of gene sets in the top five predictions. Manual evaluations confirm GPTON's robustness, highlighting its potential to harness LLMs and structured knowledge to significantly advance biomedical research beyond gene set annotation.

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Rongbin Li, Wenbo Chen, Jinbo Li, Hanwen Xing, Hua Xu, Zhao Li, W. Jim Zheng. 2024-10-17. GPTON: Generative Pre-trained Transformers enhanced with Ontology Narration for accurate annotation of biological data. https://arxiv.org/abs/2410.10899

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