Yoon‐La Choi

GraphTME predicts immune checkpoint inhibitor response by analyzing spatial cell-cell interactions in tumor microenvironments using spatial transcriptomics data.

SHEST predicts cell types and reconstructs spatial gene expression from histopathology images, achieving high accuracy in lung adenocarcinoma datasets.

This study shows that CRISPR suppression of NUTM1 promotes differentiation and increases TROP2 in NUT carcinoma cells, enhancing immunocytokine response and improving clinical outcomes.

JuLI improves DNA fusion detection in clinical sequencing by reducing false positives and increasing sensitivity, outperforming existing methods in high-depth sequencing.

This study shows that co-overexpression of MDM2 and CDK4 in transformed human BMSCs leads to dedifferentiated liposarcoma-like tumorigenesis by enhancing cell growth and migration while inhibiting adipogenic differentiation.