cytomapper
This is the development version of cytomapper; for the stable release version, see cytomapper.
Visualization of highly multiplexed imaging data in R
Bioconductor version: Development (3.24)
Highly multiplexed imaging acquires the single-cell expression of selected proteins in a spatially-resolved fashion. These measurements can be visualised across multiple length-scales. First, pixel-level intensities represent the spatial distributions of feature expression with highest resolution. Second, after segmentation, expression values or cell-level metadata (e.g. cell-type information) can be visualised on segmented cell areas. This package contains functions for the visualisation of multiplexed read-outs and cell-level information obtained by multiplexed imaging technologies. The main functions of this package allow 1. the visualisation of pixel-level information across multiple channels, 2. the display of cell-level information (expression and/or metadata) on segmentation masks and 3. gating and visualisation of single cells.
Author: Nils Eling [aut] 
, Nicolas Damond [aut] , Tobias Hoch [ctb], Lasse Meyer [cre, ctb]
Maintainer: Lasse Meyer <lasse.meyer at dqbm.uzh.ch>
citation("cytomapper")):Nils Eling, Nicolas Damond. cytomapper: Visualization of highly multiplexed imaging data in R. doi:10.18129/B9.bioc.cytomapper, R package version 1.25.1, https://bioconductor.org/packages/cytomapper.
Generated from the package metadata; it may differ from the package's own citation.
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")
BiocManager::install("cytomapper")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("cytomapper")| "On disk storage of images" | HTML | R Script |
| "Visualization of imaging cytometry data in R" | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | DataImport, ImmunoOncology, MultipleComparison, Normalization, OneChannel, SingleCell, Software, TwoChannel |
| Version | 1.25.1 |
| In Bioconductor since | BioC 3.11 (R-4.0) (6.5 years) |
| License | GPL (>= 2) |
| Depends | R (>= 4.0), EBImage, SingleCellExperiment, methods |
| Imports | SpatialExperiment, S4Vectors, BiocParallel, HDF5Array, DelayedArray, RColorBrewer, viridis, utils, SummarizedExperiment, tools, graphics, raster, grDevices, stats, ggplot2, ggbeeswarm, svgPanZoom, svglite, shiny, shinydashboard, matrixStats, rhdf5, nnls |
| System Requirements | |
| URL | https://github.com/BodenmillerGroup/cytomapper |
| Bug Reports | https://github.com/BodenmillerGroup/cytomapper/issues |
See More
| Suggests | BiocStyle, knitr, rmarkdown, markdown, cowplot, testthat, shinytest |
| Linking To | |
| Enhances | |
| Depends On Me | imcdatasets |
| Imports Me | cytoviewer, imcRtools, simpleSeg |
| Suggests Me | SpatialDatasets |
| Links To Me | |
| Build Report | Build Report, r-universe |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | cytomapper_1.25.1.tar.gz |
| Windows Binary (x86_64) | cytomapper_1.25.1.zip (64-bit only) |
| macOS Binary (big-sur-x86_64) | cytomapper_1.25.1.tgz |
| macOS Binary (sonoma-arm64) | cytomapper_1.25.1.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/cytomapper |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/cytomapper |
| Package Short Url | https://bioconductor.org/packages/cytomapper/ |
| Package Downloads Report | Download Stats |