The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
SPACO: Spatial Component Analysis for Spatial Sequencing Data
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>.
| Version: |
1.0.1 |
| Depends: |
R (≥ 4.2.3) |
| Imports: |
ggplot2, Seurat (≥ 5.3.0), tibble, ggforce, methods, rARPACK, tidyr, mgcv, scales, Matrix (≥ 1.5) |
| LinkingTo: |
Rcpp, RcppEigen |
| Suggests: |
testthat (≥ 3.0.0) |
| Published: |
2026-03-31 |
| DOI: |
10.32614/CRAN.package.SPACO |
| Author: |
David Köhler 
[aut, cre] |
| Maintainer: |
David Köhler <koehler at imbie.uni-bonn.de> |
| License: |
MIT + file LICENSE |
| NeedsCompilation: |
yes |
| CRAN checks: |
SPACO results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=SPACO
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.