Collections / Human ileum, Visium
Human ileum, Visium
Datasets4
Size~17 GB
AssayVisium
Samplehuman · intestine
KindPublication
Download the whole collection
Python · lamindb
import lamindb as ln
import spatialdata as sd
coll = ln.Collection.get(key="doi-10.1038/s41587-021-01075-3")
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()} About the study
Super-resolved spatial transcriptomics by deep data fusion.
Read the abstract at the source →Member datasets · 4
Cite this collection
doi.org/10.1038/s41587-021-01075-3 ↗ BibTeX
@article{Bergenstr_hle_2021,
title = {Super-resolved spatial transcriptomics by deep data fusion},
volume = {40},
ISSN = {1546-1696},
url = {http://dx.doi.org/10.1038/s41587-021-01075-3},
DOI = {10.1038/s41587-021-01075-3},
number = {4},
journal = {Nature Biotechnology},
publisher = {Springer Science and Business Media LLC},
author = {Bergenstråhle, Ludvig and He, Bryan and Bergenstråhle, Joseph and Abalo, Xesús and Mirzazadeh, Reza and Thrane, Kim and Ji, Andrew L. and Andersson, Alma and Larsson, Ludvig and Stakenborg, Nathalie and Boeckxstaens, Guy and Khavari, Paul and Zou, James and Lundeberg, Joakim and Maaskola, Jonas},
year = {2021},
month = Nov,
pages = {476–479}
}