CellTypeAgent: Trustworthy cell type annotation with Large Language Models
Fuente:
arXiv
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| Autores principales: | , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866912374205710336 |
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| author | Chen, Jiawen Zhang, Jianghao Yao, Huaxiu Li, Yun |
| author_facet | Chen, Jiawen Zhang, Jianghao Yao, Huaxiu Li, Yun |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_08844 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | CellTypeAgent: Trustworthy cell type annotation with Large Language Models Chen, Jiawen Zhang, Jianghao Yao, Huaxiu Li, Yun Genomics Artificial Intelligence 68T20 I.2.1 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. |
| title | CellTypeAgent: Trustworthy cell type annotation with Large Language Models |
| topic | Genomics Artificial Intelligence 68T20 I.2.1 |
| url | https://arxiv.org/abs/2505.08844 |