SpaTopic
Topic Inference to Identify Tissue Architecture in Multiplexed Images
A novel spatial topic model to integrate both cell type and spatial information to identify the complex spatial tissue architecture on multiplexed tissue images without human intervention. The Package implements a collapsed Gibbs sampling algorithm for inference. 'SpaTopic' is scalable to large-scale image datasets without extracting neighborhood information for every single cell. For more details on the methodology, see <https://xiyupeng.github.io/SpaTopic/>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.2.0 |
rolling linux/jammy R-4.5 | SpaTopic_1.2.0.tar.gz |
611.5 KiB |
1.2.0 |
rolling linux/noble R-4.5 | SpaTopic_1.2.0.tar.gz |
613.7 KiB |
1.2.0 |
rolling source/ R- | SpaTopic_1.2.0.tar.gz |
425.9 KiB |
1.2.0 |
latest linux/jammy R-4.5 | SpaTopic_1.2.0.tar.gz |
611.5 KiB |
1.2.0 |
latest linux/noble R-4.5 | SpaTopic_1.2.0.tar.gz |
613.7 KiB |
1.2.0 |
latest source/ R- | SpaTopic_1.2.0.tar.gz |
425.9 KiB |
1.2.0 |
2026-04-26 source/ R- | SpaTopic_1.2.0.tar.gz |
425.9 KiB |
1.2.0 |
2026-04-23 source/ R- | SpaTopic_1.2.0.tar.gz |
425.9 KiB |
1.2.0 |
2026-04-09 windows/windows R-4.5 | SpaTopic_1.2.0.zip |
1021.2 KiB |
1.2.0 |
2025-04-20 source/ R- | SpaTopic_1.2.0.tar.gz |
425.9 KiB |