159-TopoLa: Topological Learning for ScRNA Data Analysis

Paper Talk · Oct 23, 2025 · 18m

The paper describes TopoLa, a novel computational framework that enhances cell representations for single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) data by leveraging Topology-encoded Latent Hyperbolic Geometry. The framework introduces two main components: TopoLa distance (TLd), a metric that quantifies geometric distance and topological relationships between cells in a latent hyperbolic space, and TopoConv, a spatial convolution technique that uses TLd to refine cell representations. The authors demonstrate TopoLa's universal applicability and robustness by…