- recipe bioconductor-cytomapper
Visualization of highly multiplexed imaging data in R
- Homepage:
https://bioconductor.org/packages/3.14/bioc/html/cytomapper.html
- License:
GPL (>= 2)
- Recipe:
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.
- package bioconductor-cytomapper¶
-
- Versions:
1.6.0-0
,1.4.1-0
,1.2.1-0
,1.2.0-0
,1.0.0-0
- Depends:
bioconductor-biocparallel
>=1.28.0,<1.29.0
bioconductor-delayedarray
>=0.20.0,<0.21.0
bioconductor-ebimage
>=4.36.0,<4.37.0
bioconductor-hdf5array
>=1.22.0,<1.23.0
bioconductor-rhdf5
>=2.38.0,<2.39.0
bioconductor-s4vectors
>=0.32.0,<0.33.0
bioconductor-singlecellexperiment
>=1.16.0,<1.17.0
bioconductor-summarizedexperiment
>=1.24.0,<1.25.0
r-base
>=4.1,<4.2.0a0
- Required By:
Installation
With an activated Bioconda channel (see set-up-channels), install with:
conda install bioconductor-cytomapper
and update with:
conda update bioconductor-cytomapper
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-cytomapper:<tag>
(see bioconductor-cytomapper/tags for valid values for
<tag>
)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-cytomapper/README.html)