Article

Automating Candidate Gene Prioritization with Large Language Models: From Naive Scoring to Literature-Grounded Validation

2025-09-20

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Identifying promising therapeutic targets from thousands of genes in transcriptomic studies remains a major bottleneck in biomedical research. While large language models (LLMs) show potential for gene prioritization, they suffer from hallucination and lack systematic validation against expert knowledge. <h4>Methods</h4> We developed a two-stage computational framework that...

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Literature Corpus work: 2f0b73cd-536e-5c70-8216-3d7b53bf8c08
DOI: 10.1101/2025.09.17.676837

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