is a General purpose Resource.
STELLAR is a geometric deep learning method for cell type discovery and identification in spatially resolved single-cell datasets. It automatically assigns cells to known cell types and discovers novel cell types by transferring annotations across different dissection regions, tissues, and donors.
biomedical, genomics
Unknown
Unknown
| ID | Name | URL | Category | Format | Description |
|---|---|---|---|---|---|
| stellar.code | STELLAR Code | stellar | ProcessProduct | ❔ | PyTorch implementation of the STELLAR... |
| stellar.demo | STELLAR Demo Notebook | demo.ipynb | GraphicalInterface | ❔ | Demo Jupyter notebook showing example... |
| stellar.datasets | STELLAR Datasets | 1OQtxew0Unh3iAdP-ELew-ctwuPTBz6Oy8uuyxqliZk | Product | ❔ | CODEX multiplexed imaging datasets us... |
| ID | Name | URL | Category | Format | Description |
|---|---|---|---|---|---|
| ubkg.neo4j | UBKG Neo4j Docker Distribution | ubkg-downloads.xconsortia.org | GraphProduct | ❔ | Turnkey neo4j distributions that depl... |
| ubkg.csv | UBKG Ontology CSV Files | ubkg-downloads.xconsortia.org | GraphProduct | csv | Ontology CSV files that can be import... |