BACT: nonparametric Bayesian cell typing for single-cell spatial transcriptomics data.

ABSTRACT: The spatial transcriptomics is a rapidly evolving biological technology that simultaneously measures the gene expression profiles and the spatial locations of spots. With progressive advances, current spatial transcriptomic techniques can achieve the cellular or even the subcellular resolution, making it possible to explore the fine-grained spatial pattern of cell types within one tissue section. However, most existing cell spatial clustering methods require a correct specification of the cell type number, which is hard to determine in the practical exploratory data analysis. To address this issue, we present a nonparametric Bayesian model BACT to perform BAyesian Cell Typing by utilizing gene expression information and spatial coordinates of cells. BACT incorporates a nonparametric Potts

SUBMITTER: Yan Y 

PROVIDER: S-EPMC11697130 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature