Visium
Human colorectum
GSM7089857
silver Interactive viewer H&E colorectal cancer No linked publication
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM7089857_Ajou_Visium_P3_Ajou_Visium_P3_hires_image': DataArray[cyx] (3, 2000, 1991)
│ └── 'GSM7089857_Ajou_Visium_P3_Ajou_Visium_P3_lowres_image': DataArray[cyx] (3, 600, 597)
├── Shapes
│ └── 'GSM7089857_Ajou_Visium_P3_Ajou_Visium_P3': GeoDataFrame shape: (4676, 2) (2D shapes)
└── Tables
└── 'table': AnnData (4676, 19144)
with coordinate systems:
▸ 'GSM7089857_Ajou_Visium_P3_Ajou_Visium_P3', with elements:
GSM7089857_Ajou_Visium_P3_Ajou_Visium_P3_hires_image (Images), GSM7089857_Ajou_Visium_P3_Ajou_Visium_P3_lowres_image (Images), GSM7089857_Ajou_Visium_P3_Ajou_Visium_P3 (Shapes)
▸ 'GSM7089857_Ajou_Visium_P3_Ajou_Visium_P3_downscaled_hires', with elements:
GSM7089857_Ajou_Visium_P3_Ajou_Visium_P3_hires_image (Images), GSM7089857_Ajou_Visium_P3_Ajou_Visium_P3 (Shapes)
▸ 'GSM7089857_Ajou_Visium_P3_Ajou_Visium_P3_downscaled_lowres', with elements:
GSM7089857_Ajou_Visium_P3_Ajou_Visium_P3_lowres_image (Images), GSM7089857_Ajou_Visium_P3_Ajou_Visium_P3 (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("0YPANyxcDKJmaAQM") # 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/0YPANyxcDKJmaAQM
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid 0YPANyxcDKJmaAQM Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["0YPANyxcDKJmaAQM0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart of collection
Visium Spatial transcriptomics analysis of human primary colorectal cancer→ 4 datasets · replicates
Metadata
- Technology
- Visium
- Organism
- human
- Tissue
- colorectum
- Condition
- colorectal cancer
- Modality
- RNA
- Observations
- 4,676
- Tier
- silver
- Chemistry
- Visium v1
- Resolution
- 1,991 × 2,000 px
- mpp
- 3.425 µm/px
- Size
- 67 MB
- Sample ID
- GSM7089857
- License
- unknown
- Published
- Mar 14, 2023
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB