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Showing content from https://www.bioconductor.org/packages/devel/data/experiment/html/MouseAgingData.html below:

Bioconductor - MouseAgingData (development version)

This is the development version of MouseAgingData; for the stable release version, see MouseAgingData.

Bioconductor version: Development (3.22)

The MouseAgingData package provides analysis-ready data resources from different studies focused on aging and rejuvenation in mice. The package currently provides two 10x Genomics single-cell RNA-seq datasets. The first study profiled the aging mouse brain measured across 37,089 cells (Ximerakis et al., 2019). The second study investigated parabiosis by profiling a total of 105,329 cells (Ximerakis & Holton et al., 2023). The datasets are provided as SingleCellExperiment objects and provide raw UMI counts and cell metadata.

Author: Tram Nguyen [aut, cre] ORCID: 0000-0003-4809-6227 , Kris Holton [aut], Tyrone Lee [aut], Nitesh Turaga [ctb], Ludwig Geistlinger [aut], Robert Gentleman [aut]

Maintainer: Tram Nguyen <Tram_Nguyen at hms.harvard.edu>

To install this package, start R (version "4.5") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("MouseAgingData")

For older versions of R, please refer to the appropriate Bioconductor release.

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("MouseAgingData")

Follow Installation instructions to use this package in your R session.

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