CellAgent: LLM-Driven Multi-Agent Framework for Natural Language-Based Single-Cell Analysis
Jan 4, 2026·,
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0 min read
Yihang Xiao
*Jinyi Liu
*Yan Zheng
*Shaoqing Jiao
*Jianye Hao
Xiaohan Xie
Mingzhi Li
Ruitao Wang
Fei Ni
Yuxiao Li
Zhen Wang
Xuequn Shang
Zhijie Bao
Changxiao Yang
Jiajie Peng
Type
Publication
The Fourteenth International Conference on Learning Representations (ICLR 2026 Poster)
Overview
An LLM-driven multi-agent system for end-to-end single-cell and spatial transcriptomics analysis through natural language, combining hierarchical planning, expert tools, and self-reflective optimization.
Venue. The Fourteenth International Conference on Learning Representations (ICLR 2026 Poster)
