Article

Enhancing Gene Set Overrepresentation Analysis with Large Language Models

2024-11-14

Abstract excerpt

Gene set overrepresentation analysis is widely used to interpret high-throughput transcriptomics and proteomics data, but traditional methods rely on static, human-curated gene set databases that lack flexibility. We introduce llm2geneset , a framework that leverages large language models (LLMs) to dynamically generate gene set databases tailored to input query genes, such as differentially expressed genes (DEGs)...

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Literature Corpus work: 6b519351-6f37-5fc7-af16-c0514ab5142e
DOI: 10.1101/2024.11.11.621189

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