About this document

2024 12 10 627808v1 Full by Keyan Zhao is a document available to read on EtoBox.

This document presents a study on an automated workflow utilizing Large Language Models (LLMs), specifically GPT-4, for candidate gene prioritization in targeted assay development. The workflow demonstrates high consistency and scalability in identifying relevant genes, particularly for sepsis, while revealing the need for further validation due to some scoring inconsistencies. Overall, the study highlights the potential of LLMs to streamline the gene prioritization process, enhancing the translation of lar

Author

Keyan Zhao

Language

EN