- recipe bioconductor-simpleseg
A package to perform simple cell segmentation
- Homepage:
https://bioconductor.org/packages/3.16/bioc/html/simpleSeg.html
- License:
GPL-3
- Recipe:
Image segmentation is the process of identifying the borders of individual objects (in this case cells) within an image. This allows for the features of cells such as marker expression and morphology to be extracted, stored and analysed. simpleSeg provides functionality for user friendly, watershed based segmentation on multiplexed cellular images in R based on the intensity of user specified protein marker channels. simpleSeg can also be used for the normalization of single cell data obtained from multiple images.
- package bioconductor-simpleseg¶
-
- Versions:
1.0.0-0
- Depends:
bioconductor-biocparallel
>=1.32.0,<1.33.0
bioconductor-cytomapper
>=1.10.0,<1.11.0
bioconductor-ebimage
>=4.40.0,<4.41.0
bioconductor-s4vectors
>=0.36.0,<0.37.0
bioconductor-summarizedexperiment
>=1.28.0,<1.29.0
r-base
>=4.2,<4.3.0a0
- Required By:
Installation
With an activated Bioconda channel (see set-up-channels), install with:
conda install bioconductor-simpleseg
and update with:
conda update bioconductor-simpleseg
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-simpleseg:<tag>
(see bioconductor-simpleseg/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-simpleseg/README.html)