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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.1 |
rolling linux/jammy R-4.5 | SPACO_1.0.1.tar.gz |
119.3 KiB |
1.0.1 |
rolling linux/noble R-4.5 | SPACO_1.0.1.tar.gz |
15.5 KiB |
1.0.1 |
rolling source/ R- | SPACO_1.0.1.tar.gz |
15.5 KiB |
1.0.1 |
latest linux/jammy R-4.5 | SPACO_1.0.1.tar.gz |
119.3 KiB |
1.0.1 |
latest linux/noble R-4.5 | SPACO_1.0.1.tar.gz |
15.5 KiB |
1.0.1 |
latest source/ R- | SPACO_1.0.1.tar.gz |
15.5 KiB |
1.0.1 |
2026-04-26 source/ R- | SPACO_1.0.1.tar.gz |
15.5 KiB |
1.0.1 |
2026-04-23 source/ R- | SPACO_1.0.1.tar.gz |
15.5 KiB |
1.0.1 |
2026-04-09 windows/windows R-4.5 | SPACO_1.0.1.zip |
442.5 KiB |