Paper ID: 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, Zhao Li, W. Jim Zheng

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.

Submitted: Oct 12, 2024