Collections / Spatial transcriptomics of primary human hepatoblastomas
Spatial transcriptomics of primary human hepatoblastomas
Spatial transcriptomics was performed on human hepatoblastomas to determine features associated with histologic heterogeneity.
Datasets3
Size~91 MB
AssayVisium
Samplehuman · liver
KindComparison
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Python · lamindb
import lamindb as ln
import spatialdata as sd
coll = ln.Collection.get(key="geo-gse249965")
coll.ordered_artifacts.df() # the 3 members, ordered
# download every member .zarr to the local cache:
paths = [a.cache() for a in coll.ordered_artifacts.all()]
# …or load each straight into memory as a SpatialData object:
sdatas = {a.key: sd.read_zarr(a.cache()) for a in coll.ordered_artifacts.all()} Member datasets · 3
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