Table 2 Definitions of concepts for SVGs and frequentist statistical tests

From: Categorization of 34 computational methods to detect spatially variable genes from spatially resolved transcriptomics data

 

Concept

Definition

SVGs

Overall SVGs

Genes that exhibit non-random spatial expression patterns. This is the most general category of SVGs detected using only SRT data without incorporating external information such as spatial domains or cell types.

 

Cell-type-specific SVGs

Genes that exhibit non-random spatial expression patterns within a cell type. These genes are detected using both SRT data and external cell-type annotations for the spatial spots.

 

Spatial-domain-marker SVGs

Genes that exhibit significantly higher expression in a spatial domain compared to other domains. These genes are detected using SRT data and spatial domains, which are usually detected from the same SRT data.

Frequentist tests

Dependent test

Examines the dependence between a gene’s expression level and the spatial location.

 

Fixed-effect tests

Examines whether some or all of the fixed-effect covariates xi contribute to the mean of the response variable, i.e., a gene’s expression.

 

Random-effect tests

Examines whether the random-effect covariates zi contribute to the variance of the response variable, i.e., a gene’s expression.