Back to search

Article

Evaluation of large language models for discovery of gene set function

2023-09-18

Abstract excerpt

<title>Abstract</title> <p>Gene set analysis is a mainstay of functional genomics, but it relies on manually curated databases of gene functions that are incomplete and unaware of biological context. Here we evaluate the ability of OpenAI’s GPT-4, a Large Language Model (LLM), to develop hypotheses about common gene functions from its embedded biomedical knowledge. We created a GPT-4 pipeline to label gene sets w...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
8d459f57-3c5e-5d22-953e-2d5bd80ed589
DOI
10.21203/rs.3.rs-3270331/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Evaluation of large language models for discovery of gene set functionDOI 10.21203/rs.3.rs-3270331/v1
Select a neighboring publication to make it the new centre.