AI agent improves accuracy of gene set analysis by leveraging expert-curated databases

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Researchers at the National Institutes of Health (NIH) have developed an artificial intelligence (AI) agent powered by a large language model (LLM) that creates more accurate and informative descriptions of biological processes and their functions in gene set analysis than current systems. The work is published in the journal Nature Methods.