Kyeonghun Jeong

scUnify provides a unified framework for training and inference across multiple single-cell foundation models, enabling comparison and extension of tasks and adaptation strategies.

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

scMILD identifies condition-associated cells using sample-level labels and reveals biological transitions in disease datasets.

The paper analyzes hypoxia-related gene expression in cancers from anatomically similar locations using TCGA data to identify prognostic hub genes and functional enrichments.