Hongbin Yang

The paper develops similarity-based merger models that combine chemical structure and cell morphology predictions to improve assay hit calls across multiple biological assays.

The paper combines chemical structure, gene expression, and cell morphology data to improve mitochondrial toxicity prediction in drug discovery.

This paper introduces a drug repurposing method using chemical and genomic data to score compounds for 674 cancer types and other diseases, with results matching ongoing clinical trials.

This study uses a network-based method to quantify interactions in TCM herb pairs, finding that frequently used pairs have shorter network distances, suggesting therapeutic effects through protein interactions.