recipe bioconductor-cydar

Using Mass Cytometry for Differential Abundance Analyses

Homepage

https://bioconductor.org/packages/3.14/bioc/html/cydar.html

License

GPL-3

Recipe

/bioconductor-cydar/meta.yaml

Identifies differentially abundant populations between samples and groups in mass cytometry data. Provides methods for counting cells into hyperspheres, controlling the spatial false discovery rate, and visualizing changes in abundance in the high-dimensional marker space.

package bioconductor-cydar

Versions

1.18.0-1,  1.18.0-0,  1.16.0-0,  1.14.0-2,  1.14.0-1,  1.14.0-0,  1.12.0-0,  1.10.0-0,  1.8.0-1, 

1.18.0-1,  1.18.0-0,  1.16.0-0,  1.14.0-2,  1.14.0-1,  1.14.0-0,  1.12.0-0,  1.10.0-0,  1.8.0-1,  1.6.0-0

Depends

• bioconductor-biobase >=2.54.0,<2.55.0

• bioconductor-biocgenerics >=0.40.0,<0.41.0

• bioconductor-biocneighbors >=1.12.0,<1.13.0

• bioconductor-biocparallel >=1.28.0,<1.29.0

• bioconductor-flowcore >=2.6.0,<2.7.0

• bioconductor-s4vectors >=0.32.0,<0.33.0

• bioconductor-singlecellexperiment >=1.16.0,<1.17.0

• bioconductor-summarizedexperiment >=1.24.0,<1.25.0

• libblas >=3.8.0,<4.0a0

• libgcc-ng >=10.3.0

• liblapack >=3.8.0,<4.0a0

• libstdcxx-ng >=10.3.0

• r-base >=4.1,<4.2.0a0

• r-rcpp

• r-shiny

• r-viridis

Required By

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-cydar

and update with:

conda update bioconductor-cydar

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-cydar:<tag>

(see bioconductor-cydar/tags for valid values for <tag>)

Download stats

Link to this page

Render an badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-cydar/README.html)