<p>GeneScribe: Leveraging large language models for gene summary generation</p>

Pengyuan  Li; Ranjana Kishore; Valerio Arnaboldi; Paul Sternberg

doi:10.7490/f1000research.1120159.1

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Li P, Kishore R, Arnaboldi V and Sternberg P. GeneScribe: Leveraging large language models for gene summary generation [version 1; not peer reviewed]. F1000Research 2025, 14:429 (slides) (https://doi.org/10.7490/f1000research.1120159.1)

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GeneScribe: Leveraging large language models for gene summary generation

Pengyuan Li¹, Ranjana Kishore², Valerio Arnaboldi, Paul Sternberg

Published 11 Apr 2025 (https://doi.org/10.7490/f1000research.1120159.1)

Author Affiliations

¹ IBM Almaden Research Center, San Jose, Caltech, USA
² Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA

Copyright © 2025 Li P et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Published 11 Apr 2025

GeneScribe: Leveraging large language models for gene summary generation
[version 1; not peer reviewed]

Pengyuan Li¹, Ranjana Kishore², Valerio Arnaboldi, Paul Sternberg

Author Affiliations

¹ IBM Almaden Research Center, San Jose, Caltech, USA
² Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA

Presented at

18th Annual International Biocuration Conference 2025

Abstract

Competing Interests

No competing interests were disclosed

Keywords

gene summaries, gene function, automated gene summaries, LLM generated gene summaries

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