<p>TALISMAN: Gene set summarization using Large Language Models</p>

Marcin P Joachimiak; J. Harry Caufield; Hyeongsik Kim; Nomi Harris; Christopher Mungall

doi:10.7490/f1000research.1120059.1

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Joachimiak MP, Caufield JH, Kim H et al. TALISMAN: Gene set summarization using Large Language Models [version 1; not peer reviewed]. F1000Research 2024, 13:1524 (slides) (https://doi.org/10.7490/f1000research.1120059.1)

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TALISMAN: Gene set summarization using Large Language Models

Marcin P Joachimiak¹, J. Harry Caufield, Hyeongsik Kim, Nomi Harris, Christopher Mungall

Published 16 Dec 2024 (https://doi.org/10.7490/f1000research.1120059.1)

Author Affiliations

¹ Environmental Genomics and Systems Biology, E O Lawrence Berkeley National Laboratory The Biosciences Area, Berkeley, California, USA

Copyright © 2024 Joachimiak MP 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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CITE

Published 16 Dec 2024

TALISMAN: Gene set summarization using Large Language Models
[version 1; not peer reviewed]

Marcin P Joachimiak¹, J. Harry Caufield, Hyeongsik Kim, Nomi Harris, Christopher Mungall

Author Affiliations

¹ Environmental Genomics and Systems Biology, E O Lawrence Berkeley National Laboratory The Biosciences Area, Berkeley, California, USA

Presented at

Intelligent Systems for Molecular Biology Conference (ISMB), 2025

Abstract

Competing Interests

No competing interests were disclosed

Keywords

gene set enrichment, gene set interpretation, gene set summarization, LLMs, Gene Ontology, statistical enrichment analysis, text-based summarization, latent knowledge retrieval, hallucinations and bias in AI

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