CellAgent

Jan 1, 2025 · 1 min read

An LLM-driven multi-agent system that lets researchers run end-to-end single-cell analysis through natural language while preserving high-quality scientific outputs.

This page focuses on the system and deployment side of CellAgent. For the paper version with method details and results, see the related publication.

CellAgent packages planning, tool use, and domain-specific analysis steps into a workflow that researchers can access through a browser instead of custom scripting.

Jinyi Liu
Authors
Ph.D. Candidate Reinforcement Learning and LLM Systems