SFEData

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

Example SpatialFeatureExperiment datasets


Bioconductor version: Development (3.20)

Example spatial transcriptomics datasets with Simple Feature annotations as SpatialFeatureExperiment objects. Technologies include Visium, slide-seq, Nanostring CoxMX, Vizgen MERFISH, and 10X Xenium. Tissues include mouse skeletal muscle, human melanoma metastasis, human lung, breast cancer, and mouse liver.

Author: Lambda Moses [aut, cre] , Alik Huseynov [aut] , Kayla Jackson [aut] , Lior Pachter [aut, ths]

Maintainer: Lambda Moses <dlu2 at caltech.edu>

Citation (from within R, enter citation("SFEData")):

Installation

To install this package, start R (version "4.4") and enter:


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

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

BiocManager::install("SFEData")

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

Documentation

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

browseVignettes("SFEData")
Example SpatialFeatureExperiment datasets HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews ExperimentData, ExperimentHub, ExpressionData, Homo_sapiens_Data, Mus_musculus_Data, SingleCellData, SpatialData, Tissue
Version 1.7.0
License Artistic-2.0
Depends
Imports BiocFileCache, AnnotationHub, ExperimentHub, utils
System Requirements
URL https://github.com/pachterlab/SFEData
Bug Reports https://github.com/pachterlab/SFEData/issues
See More
Suggests BiocStyle, knitr, rmarkdown, SeuratObject, SpatialFeatureExperiment, testthat (>= 3.0.0)
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me concordexR, SpatialFeatureExperiment, Voyager, xenLite
Links To Me
Build Report Build Report

Package Archives

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

Source Package SFEData_1.7.0.tar.gz
Windows Binary
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/SFEData
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/SFEData
Package Short Url https://bioconductor.org/packages/SFEData/
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