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SPACO

Spatial Component Analysis for Spatial Sequencing Data

v1.0.1 · Mar 31, 2026 · MIT + file LICENSE

Description

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) <doi:10.1093/bioinformatics/btag052>.

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Check History

OK 7 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Apr 1, 2026

Dependency Network

Dependencies Reverse dependencies ggplot2 Seurat tibble ggforce rARPACK tidyr mgcv scales Matrix SPACO

Version History

updated 1.0.1 ← 1.0.0 diff Mar 31, 2026
new 1.0.0 Mar 31, 2026