Package: imcdatasets 1.21.3
imcdatasets: Collection of publicly available imaging mass cytometry (IMC) datasets
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.
Authors:
imcdatasets_1.21.3.tar.gz
imcdatasets_1.21.3.tar.gz(r-4.6-any)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
imcdatasets/json (API)
| # Install 'imcdatasets' in R: |
| install.packages('imcdatasets', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/bodenmillergroup/imcdatasets/issues
Pkgdown/docs site:https://bodenmillergroup.github.io
On BioConductor:imcdatasets-1.21.3(data/experiment 3.24)imcdatasets-1.20.1(data/experiment 3.23)
experimentdataexperimenthubsinglecelldataspatialdatahomo_sapiens_dataimmunooncologydatatechnologydatapackagetypedatareproducibleresearchtissuedatapkg
Last updated from:4c5522728b. Checks:1 NOTE, 2 FAIL, 1 OK. Indexed: yes.
This is a data package. Data packages may be large and do not get checked across all platforms.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | NOTE | 223 | ||
| linux-devel | FAIL | 3879 | ||
| source / vignettes | OK | 2493 | ||
| linux-release | FAIL | 3886 |
Exports:Damond_2019_PancreasHochSchulz_2022_MelanomaIMMUcan_2022_CancerExampleJacksonFischer_2020_BreastCancerlistDatasetsMeyer_2025_TripleNegativeBreastCancerSteenbuckDamond_2026_T1DZanotelli_2020_Spheroids
Dependencies:abindAnnotationDbiAnnotationHubaskpassbase64encbeeswarmBHBiobaseBiocBaseUtilsBiocFileCacheBiocGenericsbiocmakeBiocManagerBiocParallelBiocVersionBiostringsbitbit64bitopsblobbslibcachemclicodetoolscommonmarkcpp11crayoncurlcytomapperDBIdbplyrDelayedArraydigestdir.expirydplyrEBImageevaluateExperimentHubfarverfastmapfftwtoolsfilelockfontawesomeformatRfsfutile.loggerfutile.optionsgenericsGenomicRangesggbeeswarmggplot2gluegridExtragtableh5mreadHDF5Arrayhighrhtmltoolshtmlwidgetshttpuvhttrhttr2IRangesisobandjpegjquerylibjsonliteKEGGRESTknitrlabelinglambda.rlaterlatticelifecyclelocfitmagickmagrittrMatrixMatrixGenericsmatrixStatsmemoisemimennlsopensslotelpillarpkgconfigpngpromisespurrrR6rappdirsrasterRColorBrewerRcppRCurlrhdf5rhdf5filtersRhdf5librjsonrlangrmarkdownRSQLiteS4ArraysS4VectorsS7sassscalesSeqinfoshinyshinydashboardSingleCellExperimentsnowsourcetoolsspSparseArraySpatialExperimentstringistringrSummarizedExperimentsvglitesvgPanZoomsyssystemfontsterratextshapingtibbletidyrtidyselecttifftinytexutf8vctrsviporviridisviridisLitewithrxfunxtableXVectoryaml
Last update: 2026-07-24
Started: 2022-10-19
Last update: 2023-02-25
Started: 2020-11-03
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Obtain the Damond_2019_Pancreas dataset | Damond_2019_Pancreas |
| Obtain the HochSchulz_2022_Melanoma dataset | HochSchulz_2022_Melanoma |
| Obtain the IMMUcan_2022_CancerExample dataset | IMMUcan_2022_CancerExample |
| Obtain the JacksonFischer_2020_BreastCancer dataset | JacksonFischer_2020_BreastCancer |
| List all available datasets | listDatasets |
| Obtain the Meyer_2025_TripleNegativeBreastCancer dataset | Meyer_2025_TripleNegativeBreastCancer |
| Obtain the SteenbuckDamond_2026_T1D dataset | SteenbuckDamond_2026_T1D |
| Obtain the Zanotelli_2020_Spheroids dataset | Zanotelli_2020_Spheroids |
