Collections / Spatial transcriptomics dataset of non-human primates
Spatial transcriptomics dataset of non-human primates
10X genomics Visium spatial RNA sequencing was performed on 18 non-human primate dorsal root ganglia (16 Macaca fascicularis, 1 Macaca mulatta, Papio anubis)
Datasets18
Size~231 MB
AssayVisium
Samplecrab-eating macaque · dorsal root ganglion
KindOther
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Python · lamindb
import lamindb as ln
import spatialdata as sd
coll = ln.Collection.get(key="geo-gse313530")
coll.ordered_artifacts.df() # the 18 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 · 18
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