P. Khatri

SMART, a multi-agent framework, transfers findings from single-cell RNA-sequencing cancer studies to other cancer types, identifying cross-cancer prognostic signatures and generating new hypotheses.

SOAAR improves cell-cell interaction inference in spatial transcriptomics by accounting for spatial autocorrelation, reducing false positives and identifying consistent immune signatures in cancer patients.

SR2P predicts protein abundance from RNA expression in spatial transcriptomics data, improving immune cell identification in tumors.

This study identifies context-dependent myeloid-T cell interactions in HNSCC ICB response using integrated single-cell and spatial omics data.

This study maps the temporal neutrophil response to burn wounds in larval zebrafish, identifying distinct subsets and their interactions, and links zebrafish myeloid signatures to human burn severity.