An LLM multi-agent framework (SpaCellAgent) automates end-to-end trajectory inference on single-cell and spatial transcriptomics data, achieving expert-aligned accuracy with 41.2% faster analysis time.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
SpaCellAgent: A Self-Evolving LLM-Based Multi-Agent Framework for Trajectory Analysis
An LLM multi-agent framework (SpaCellAgent) automates end-to-end trajectory inference on single-cell and spatial transcriptomics data, achieving expert-aligned accuracy with 41.2% faster analysis time.