oCELLoc
Predicts Suitable Cell Types in Spatial Transcriptomics and scRNA-seq Data
Picks the suitable cell types in spatial and scRNA-seq data using shrinkage methods. The package includes curated reference gene expression profiles for human and mouse cell types, facilitating immediate application to common spatial transcriptomics or scRNA datasets. Additionally, users can input custom reference data to support tissue- or experiment-specific analyses.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.0 |
rolling linux/jammy R-4.5 | oCELLoc_1.0.0.tar.gz |
3.4 MiB |
1.0.0 |
rolling linux/noble R-4.5 | oCELLoc_1.0.0.tar.gz |
3.4 MiB |
1.0.0 |
rolling source/ R- | oCELLoc_1.0.0.tar.gz |
3.1 MiB |
1.0.0 |
latest linux/jammy R-4.5 | oCELLoc_1.0.0.tar.gz |
3.4 MiB |
1.0.0 |
latest linux/noble R-4.5 | oCELLoc_1.0.0.tar.gz |
3.4 MiB |
1.0.0 |
latest source/ R- | oCELLoc_1.0.0.tar.gz |
3.1 MiB |
1.0.0 |
2026-04-26 source/ R- | oCELLoc_1.0.0.tar.gz |
3.1 MiB |
1.0.0 |
2026-04-23 source/ R- | oCELLoc_1.0.0.tar.gz |
3.1 MiB |
1.0.0 |
2026-04-09 windows/windows R-4.5 | oCELLoc_1.0.0.zip |
3.4 MiB |