Yaohang Li

TopoLa enhances cell representations in single-cell and spatial omics by using topology-encoded latent hyperbolic geometry, improving performance across multiple tasks.

This study introduces DISHyper, a hypergraph neural network that integrates annotated gene sets to predict cancer genes, identifying 44 novel ones associated with multiple cancers.

This paper introduces scCAD, a method for identifying rare cell types in scRNA-seq data by iteratively decomposing clusters, and shows it outperforms existing methods across multiple datasets.