Visium
Human pancreas
GSM7498817
silver Interactive viewer H&E exocrine pancreatic carcinoma No linked publication
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM7498817_SS2021309_processed_nfs_SCMGL_srk01_PancCa_GEO_visium_processed_submission_230614_SS2021309_processed_hires_image': DataArray[cyx] (3, 2000, 1941)
│ └── 'GSM7498817_SS2021309_processed_nfs_SCMGL_srk01_PancCa_GEO_visium_processed_submission_230614_SS2021309_processed_lowres_image': DataArray[cyx] (3, 600, 582)
├── Shapes
│ └── 'GSM7498817_SS2021309_processed_nfs_SCMGL_srk01_PancCa_GEO_visium_processed_submission_230614_SS2021309_processed': GeoDataFrame shape: (3468, 2) (2D shapes)
└── Tables
└── 'table': AnnData (3468, 17943)
with coordinate systems:
▸ 'GSM7498817_SS2021309_processed_nfs_SCMGL_srk01_PancCa_GEO_visium_processed_submission_230614_SS2021309_processed', with elements:
GSM7498817_SS2021309_processed_nfs_SCMGL_srk01_PancCa_GEO_visium_processed_submission_230614_SS2021309_processed_hires_image (Images), GSM7498817_SS2021309_processed_nfs_SCMGL_srk01_PancCa_GEO_visium_processed_submission_230614_SS2021309_processed_lowres_image (Images), GSM7498817_SS2021309_processed_nfs_SCMGL_srk01_PancCa_GEO_visium_processed_submission_230614_SS2021309_processed (Shapes)
▸ 'GSM7498817_SS2021309_processed_nfs_SCMGL_srk01_PancCa_GEO_visium_processed_submission_230614_SS2021309_processed_downscaled_hires', with elements:
GSM7498817_SS2021309_processed_nfs_SCMGL_srk01_PancCa_GEO_visium_processed_submission_230614_SS2021309_processed_hires_image (Images), GSM7498817_SS2021309_processed_nfs_SCMGL_srk01_PancCa_GEO_visium_processed_submission_230614_SS2021309_processed (Shapes)
▸ 'GSM7498817_SS2021309_processed_nfs_SCMGL_srk01_PancCa_GEO_visium_processed_submission_230614_SS2021309_processed_downscaled_lowres', with elements:
GSM7498817_SS2021309_processed_nfs_SCMGL_srk01_PancCa_GEO_visium_processed_submission_230614_SS2021309_processed_lowres_image (Images), GSM7498817_SS2021309_processed_nfs_SCMGL_srk01_PancCa_GEO_visium_processed_submission_230614_SS2021309_processed (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("K8mvhlnDoXcGWtFc") # latest version
sdata = artifact.load() # cache, then load into memory
group = artifact.open() # stream without downloading
path = artifact.cache() # sync into the local cache, returns the path Load from the CLI
# one-shot: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/K8mvhlnDoXcGWtFc
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid K8mvhlnDoXcGWtFc Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["K8mvhlnDoXcGWtFc0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart of collection
Integrative single-cell transcriptome analysis of human pancreatic cancer reveals an intermediate cancer cell population associated with poor prognosis [Spatial]→ 7 datasets · other
Metadata
- Technology
- Visium
- Organism
- human
- Tissue
- pancreas
- Condition
- exocrine pancreatic carcinoma
- Modality
- RNA
- Observations
- 3,468
- Tier
- silver
- Chemistry
- Visium v1
- Resolution
- 1,941 × 2,000 px
- mpp
- 3.337 µm/px
- Size
- 28 MB
- Sample ID
- GSM7498817
- License
- unknown
- Published
- Nov 17, 2023
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB