Collections / spatialLIBD
spatialLIBD
Datasets12
Size~5.3 GB
AssayVisium
Samplehuman · brain
KindPublication
Download the whole collection
Python · lamindb
import lamindb as ln
import spatialdata as sd
coll = ln.Collection.get(key="doi-10.1038/s41593-020-00787-0")
coll.ordered_artifacts.df() # the 12 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
Transcriptome-scale spatial gene expression in the human dorsolateral prefrontal cortex.
Read the abstract at the source →Member datasets · 12
Cite this collection
doi.org/10.1038/s41593-020-00787-0 ↗ BibTeX
@article{Maynard_2021,
title = {Transcriptome-scale spatial gene expression in the human dorsolateral prefrontal cortex},
volume = {24},
ISSN = {1546-1726},
url = {http://dx.doi.org/10.1038/s41593-020-00787-0},
DOI = {10.1038/s41593-020-00787-0},
number = {3},
journal = {Nature Neuroscience},
publisher = {Springer Science and Business Media LLC},
author = {Maynard, Kristen R. and Collado-Torres, Leonardo and Weber, Lukas M. and Uytingco, Cedric and Barry, Brianna K. and Williams, Stephen R. and Catallini, Joseph L. and Tran, Matthew N. and Besich, Zachary and Tippani, Madhavi and Chew, Jennifer and Yin, Yifeng and Kleinman, Joel E. and Hyde, Thomas M. and Rao, Nikhil and Hicks, Stephanie C. and Martinowich, Keri and Jaffe, Andrew E.},
year = {2021},
month = Feb,
pages = {425–436}
}