Visual LLM-guided consensus spatial domain detection with L-STAR
Spatial domain detection is a central task in spatial transcriptomics, yet existing methods exhibit highly variable performance across datasets. We introduce L-STAR, a visual LLM-guided, consensus-based framework that leverages the visual reasoning capacity of large language models to adaptively rank and integrate spatial domain detection methods. L-STAR achieves robust and consistently improved…
We haven't written up this one. bioRxiv has the full story — the link below goes straight to it.
