Sangsoo Lim

PathCLAST improves spatial domain identification in spatial transcriptomics by integrating gene expression, histopathology, and pathway information, achieving better clustering accuracy than existing methods.

EnsDTI-kinase is a web-server that combines eight computational models to predict kinase-inhibitor interactions, offering improved accuracy and mutagenesis analysis.

This paper introduces a multi-layer guilt-by-association approach for drug repurposing by integrating clinical knowledge into biological networks, improving drug-disease association prediction accuracy.