tpSVG

Thin plate models to detect spatially variable genes

Bioconductor version: 3.23 · Package version: 1.8.0

The goal of `tpSVG` is to detect and visualize spatial variation in the gene expression for spatially resolved transcriptomics data analysis. Specifically, `tpSVG` introduces a family of count-based models, with generalizable parametric assumptions such as Poisson distribution or negative binomial distribution. In addition, comparing to currently available count-based model for spatially resolved data analysis, the `tpSVG` models improves computational time, and hence greatly improves the applicability of count-based models in SRT data analysis.

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("tpSVG")