SpaceX: gene co-expression network estimation for spatial transcriptomics.

ABSTRACT:

Motivation

The analysis of spatially resolved transcriptome enables the understanding of the spatial interactions between the cellular environment and transcriptional regulation. In particular, the characterization of the gene-gene co-expression at distinct spatial locations or cell types in the tissue enables delineation of spatial co-regulatory patterns as opposed to standard differential single gene analyses. To enhance the ability and potential of spatial transcriptomics technologies to drive biological discovery, we develop a statistical framework to detect gene co-expression patterns in a spatially structured tissue consisting of different clusters in the form of cell classes or tissue domains.

Results

We develop SpaceX (spatially dependent gene co-expression network),

SUBMITTER: Acharyya S 

PROVIDER: S-EPMC9665869 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature