CellScope: high-performance cell atlas workflow with tree-structured representation.

ABSTRACT: Single-cell sequencing enables comprehensive profiling of individual cells, revealing cellular heterogeneity and function with unprecedented resolution. However, current analysis frameworks lack the ability to simultaneously explore and visualize cellular hierarchies at multiple biological levels. To address these limitations, we present CellScope, a promising framework for constructing high-resolution cell atlases at multiple clustering levels. CellScope employs a two-stage manifold fitting process for gene selection and noise reduction, followed by agglomerative clustering, and integrates UMAP visualization with hierarchical clustering to intuitively represent cellular relationships simultaneously at multiple levels-such as cell lineage, cell type, and cell subtype levels. Compared to es

SUBMITTER: Li B 

PROVIDER: S-EPMC12855844 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature