PRECAST
Embedding and Clustering with Alignment for Spatial Omics Datasets
An efficient data integration method is provided for multiple spatial transcriptomics data with non-cluster-relevant effects such as the complex batch effects. It unifies spatial factor analysis simultaneously with spatial clustering and embedding alignment, requiring only partially shared cell/domain clusters across datasets. More details can be referred to Wei Liu, et al. (2023) <doi:10.1038/s41467-023-35947-w>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.8 |
rolling source/ R- | PRECAST_1.8.tar.gz |
2.3 MiB |
1.8 |
rolling linux/jammy R-4.5 | PRECAST_1.8.tar.gz |
2.3 MiB |
1.8 |
rolling linux/noble R-4.5 | PRECAST_1.8.tar.gz |
2.3 MiB |
1.8 |
latest source/ R- | PRECAST_1.8.tar.gz |
2.3 MiB |
1.8 |
latest linux/jammy R-4.5 | PRECAST_1.8.tar.gz |
2.3 MiB |
1.8 |
latest linux/noble R-4.5 | PRECAST_1.8.tar.gz |
2.3 MiB |
1.8 |
2026-04-23 source/ R- | PRECAST_1.8.tar.gz |
2.3 MiB |
1.6.6 |
2025-04-20 source/ R- | PRECAST_1.6.6.tar.gz |
2.3 MiB |