ArticlePLoS computational biology2026
GeneInsight: Condensing gene set knowledge via language models.
Article in PLoS computational biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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0 citing papers in PubMed.
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Authors and funding
3 authors.
Funding
Abstract
Gene set analysis often returns extensive annotations from multiple sources, requiring manual effort to identify coherent biological themes. We developed GeneInsight, an AI-powered tool that automates this by retrieving functional annotations from STRING-DB, clustering semantically related terms using sentence embeddings, and generating thematic summaries via large language model prompting. This enables researchers to identify biological themes that may be obscured when annotation sources are examined separately.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.