Article
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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Identifiers and source
- Literature Corpus work
- c35a3ac4-41c1-5620-b998-02be585f822b
- DOI
- 10.1101/2024.05.13.593861
