spacelink is a unified statistical framework for detecting and prioritizing SVGs at both global tissue and cell-type resolution. Spacelink employs an adaptive multi-kernel model to capture spatial variance across diverse length scales, and its cell-type specific version introduces a data-driven gating strategy to correct for spatial colocalization, designed to improve the specificity for cell types that are weakly represented in mixed spots relative to more abundant colocalizing cell types. To summarize spatial variability, we define Effective Spatial Variability (ESV), a metric which integrates variance magnitude of each component kernel and its corresponding spatial scale into a single interpretable score directly suited for genetic analyses.
Installation
You can install the development version of spacelink from GitHub with:
# install.packages("devtools")
devtools::install_github("hanbyul-lee/spacelink")Tutorial
A detailed tutorial is available here.