Microglia single-cell RNA-seq enables robust and applicable markers of biological aging

Stanley, Natalie

Description

Processed multi-sample single-cell RNA-sequencing datasets of microglia profiled during aging and development are available in annData format. Original Study Dataset NameAnnData NameHammond (Immunity,2019)Hammond_adata_merge.h5adBuckley (Nature Aging, 2023) [Microglia only]Buckley_adata_merge.h5adKracht (Science, 2020)Kracht_adata_merge.h5adTo read an annData file please see the following example:import scanpy as scimport anndataadata_merge = sc.read_h5ad(Hammond_adata_merge.h5ad')Please see our git repository for tutorials on how to use our proposed featurization approaches on annData objects.

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.5

FAIR Score

79%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

License

Creative Commons Attribution 4.0 International

Assigned Domain

Subfield

Pediatrics, Perinatology and Child Health

Field

Medicine

Domain

Health Sciences

Confidence Score

35%

Source

Open Alex

Normalization Factors

FT

57.69

CTw

1.00

MTw

1.00