Collections / Spatial transcriptomic profiling of seborrhoeic keratoses
Spatial transcriptomic profiling of seborrhoeic keratoses
Seborrhoeic keratoses (SKs) are common benign skin tumors arising from epidermal keratinocytes and frequently observed in older adults. We used spatial transcriptomics to profile a range of SKs, investigating their cellular composition and gene expression landscapes.
Datasets4
Size~377 MB
AssayVisium
Samplehuman · zone of skin
KindOther
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Python · lamindb
import lamindb as ln
import spatialdata as sd
coll = ln.Collection.get(key="geo-gse299660")
coll.ordered_artifacts.df() # the 4 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 · 4
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