Bin Duan

SpaPheno links spatial transcriptomics to clinical phenotypes using interpretable machine learning to identify predictive biomarkers for patient outcomes.

PerturBase is a database that compiles and visualizes single-cell perturbation data from multiple studies, enabling analysis of genetic and chemical perturbations across millions of cells.

scPrivacy enables privacy-preserving integration of single-cell RNA-seq datasets from multiple institutions for cell type identification.

Dr. Sim is a learning-based framework for inferring transcriptional similarity to improve phenotypic drug discovery, outperforming existing methods on drug annotation and repositioning tasks.