Dongjoo Lee

The paper shows that L-serine speeds up and arginine slows down the awakening of antibiotic persisters, offering new targets for treating chronic infections.

This paper introduces PGL, a large language model that generates synthetic single-cell RNA-seq data from metadata, enabling virtual cohort construction and reference-on-demand analysis.

IAMSAM is a web-based tool for analyzing spatial transcriptomics data, enabling tissue segmentation and downstream analysis like differential expression and cell type prediction.

This study uses spatial transcriptomics to analyze cancer-associated fibroblasts in lung squamous cell carcinoma, linking their spatial organization to tumor progression and patient outcomes.

CELLama transforms single-cell and spatial transcriptomics data into embeddings using language model abilities, enabling flexible analysis without manual reference data.

This paper introduces SuperST, a deep learning method that reconstructs high-resolution spatial gene expression images from low-resolution barcode-based spatial transcriptomics data, improving alignment with immunofluorescence images.