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CellTypeAgent: Trustworthy cell type annotation with Large Language Models
Jiawen Chen1, Jianghao Zhang2, Huaxiu Yao2,3
1Department of Biostatistics, University of North Carolina at Chapel Hill.
Abstract:
Cell type annotation is a critical yet laborious step in single-cell RNA sequencing analysis. We present a trustworthy large language model (LLM)-agent, CellTypeAgent, which integrates LLMs with verification from relevant databases. CellTypeAgent achieves higher accuracy than existing methods while mitigating hallucinations. We evaluated CellTypeAgent across nine real datasets involving 303 cell types from 36 tissues. This combined approach holds promise for more efficient and reliable cell type annotation.
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