SpaceBF: Spatial coexpression analysis using Bayesian Fused approaches in spatial omics datasets.

ABSTRACT: Advancements in spatial omics technologies have enabled the measurement of expression profiles of different molecules, such as genes (using spatial transcriptomics), and peptides, lipids, or N-glycans (using mass spectrometry imaging), across thousands of spatial locations within a tissue. While identifying individual molecules with spatially variable expression is a well-studied statistical problem, robust methodologies for detecting spatially varying co-expression between molecule pairs remain limited. To address this gap, we introduce a Bayesian fused modeling framework for estimating molecular co-expression at both local (location-specific) and global (tissue-wide) levels, offering a refined understanding of cell-cell communication (CCC) mediated through ligand-receptor and other molec

SUBMITTER: Seal S 

PROVIDER: S-EPMC11996301 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature