ScBSP: a fast and accurate tool for identifying spatially variable features from high-resolution spatial omics data.

ABSTRACT:

Motivation

Emerging spatial omics technologies empower comprehensive exploration of biological systems from multi-omics perspectives in their native tissue location in 2D and 3D space. However, the limited sequencing depth, increasing spatial resolution, and growing spatial spots in spatial omics technologies present significant computational challenges in identifying biologically meaningful molecules with variable spatial distributions across various omics modalities.

Results

We introduce scBSP, an open-source, versatile, and user-friendly package for identifying spatially variable features in large-scale spatial omics data. scBSP demonstrates significantly enhanced computational efficiency, processing high-resolution spatial omics data within seconds, and exhibits robust c

SUBMITTER: Li J 

PROVIDER: S-EPMC12574330 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature