Benchmarking large language models for identifying transcription factor regulatory interactions.

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Bibliographic Details
Title: Benchmarking large language models for identifying transcription factor regulatory interactions.
Authors: Noel L; Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA 90048, United States., Hsiao YW; Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA 90048, United States., He Y; Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA 90048, United States.; Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, United States., Hung A; Department of Urology, Cedars-Sinai Medical Center, Los Angeles, CA 90048, United States., Cui X; Department of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA 90048, United States., Ray E; Department of Surgery, Cedars-Sinai Medical Center, Los Angeles, CA 90048, United States., Moore JH; Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA 90048, United States., Peng PC; Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA 90048, United States., Huang X; Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA 90048, United States.
Source: Bioinformatics (Oxford, England) [Bioinformatics] 2026 Jan 02; Vol. 42 (1).
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:1367-4811
DOI:10.1093/bioinformatics/btaf653