Flexible analysis of spatial transcriptomics data (FAST): a deconvolution approach.

ABSTRACT:

Motivation

Spatial transcriptomics is a state-of-art technique that allows researchers to study gene expression patterns in tissues over the spatial domain. As a result of technical limitations, the majority of spatial transcriptomics techniques provide bulk data for each sequencing spot. Consequently, in order to obtain high-resolution spatial transcriptomics data, performing deconvolution becomes essential. Most existing deconvolution methods rely on reference data (e.g., single-cell data), which may not be available in real applications. Current reference-free methods encounter limitations due to their dependence on distribution assumptions, reliance on marker genes, or the absence of leveraging histology and spatial information. Consequently, there is a critical need for the de

SUBMITTER: Zhang M 

PROVIDER: S-EPMC11786350 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature