Spatial components offer tools for dimension reduction and
spatially variable gene detection for high dimensional spatial transcriptomics
data. Construction of a projection onto low-dimensional feature space of
spatially dependent metagenes offers pre-processing to clustering, testing for
spatial variability and denoising of spatial expression patterns. For more
details, see Koehler et al. (2026)