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CellAgent: LLM-Driven Multi-Agent Framework for Natural Language-Based Single-Cell Analysis

2024-05-15

Abstract excerpt

Single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) data analysis are pivotal for advancing biological research, enabling precise characterization of cellular heterogeneity. However, existing analysis approaches require extensive manual programming and tool manipulation, posing significant challenges for researchers. To address this, we introduce CellAgent, an autonomous, LLM-driven approach th...

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Literature Corpus work
c35a3ac4-41c1-5620-b998-02be585f822b
DOI
10.1101/2024.05.13.593861
Open publication

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CellAgent: LLM-Driven Multi-Agent Framework for Natural Language-Based Single-Cell AnalysisDOI 10.1101/2024.05.13.593861
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