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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>.
Getting started
Browse package contents
Package details |
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| Author | David Köhler [aut, cre] (ORCID: <https://orcid.org/0009-0006-0027-4046>) |
| Maintainer | David Köhler <koehler@imbie.uni-bonn.de> |
| License | MIT + file LICENSE |
| Version | 1.0.0 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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