159-TopoLa: Topological Learning for ScRNA Data Analysis

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 lat...去小宇宙查看完整单集简介
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