This is the development version of imcdatasets; for the stable release version, see imcdatasets.
Collection of publicly available imaging mass cytometry (IMC) datasetsBioconductor version: Development (3.22)
The imcdatasets package provides access to publicly available IMC datasets. IMC is a technology that enables measurement of > 40 proteins from tissue sections. The generated images can be segmented to extract single cell data. Datasets typically consist of three elements: a SingleCellExperiment object containing single cell data, a CytoImageList object containing multichannel images and a CytoImageList object containing the cell masks that were used to extract the single cell data from the images.
Author: Nicolas Damond [aut, cre] ORCID: 0000-0003-3027-8989 , Nils Eling [ctb] ORCID: 0000-0002-4711-1176 , Fischer Jana [ctb] ORCID: 0000-0001-9047-8400
Maintainer: Nicolas Damond <nicolas.damond at dqbm.uzh.ch>
Citation (from within R, entercitation("imcdatasets")
): Installation
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("imcdatasets")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("imcdatasets")
Details biocViews ExperimentData, ExperimentHub, Homo_sapiens_Data, ImmunoOncologyData, PackageTypeData, ReproducibleResearch, SingleCellData, SpatialData, TechnologyData, Tissue Version 1.17.0 License GPL-3 + file LICENSE Depends R (>= 4.4.0), SingleCellExperiment, SpatialExperiment, cytomapper Imports methods, utils, ExperimentHub, S4Vectors, DelayedArray, HDF5Array System Requirements URL https://github.com/BodenmillerGroup/imcdatasets Bug Reports https://github.com/BodenmillerGroup/imcdatasets/issues See More Package Archives
Follow Installation instructions to use this package in your R session.
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