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Automating Candidate Gene Prioritization with Large Language Models: Development and Benchmarking of an API-Driven Workflow Leveraging GPT-4

2024-12-16

Abstract excerpt

<h4>ABSTRACT</h4> In this exploratory study, we developed an automated workflow that leverages Large Language Models, specifically GPT-4, to prioritize candidate genes for targeted assay development. The workflow automates interaction with OpenAI models and enables prompt creation, submission. It features customizable prompts designed to evaluate candidate genes based on criteria such as association with biologic...

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Literature Corpus work
6d35e26f-ba61-57a0-936c-aa81d20dd2c0
DOI
10.1101/2024.12.10.627808
Open publication

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Automating Candidate Gene Prioritization with Large Language Models: Development and Benchmarking of an API-Driven Workflow Leveraging GPT-4DOI 10.1101/2024.12.10.627808
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