- recipe bioconductor-cydar
Using Mass Cytometry for Differential Abundance Analyses
- Homepage:
- License:
GPL-3
- Recipe:
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:
1.26.0-0,1.24.0-0,1.22.0-1,1.22.0-0,1.18.0-2,1.18.0-1,1.18.0-0,1.16.0-0,1.14.0-2,1.26.0-0,1.24.0-0,1.22.0-1,1.22.0-0,1.18.0-2,1.18.0-1,1.18.0-0,1.16.0-0,1.14.0-2,1.14.0-1,1.14.0-0,1.12.0-0,1.10.0-0,1.8.0-1,1.6.0-0- depends bioconductor-biobase:
>=2.62.0,<2.63.0- depends bioconductor-biobase:
>=2.62.0,<2.63.0a0- depends bioconductor-biocgenerics:
>=0.48.0,<0.49.0- depends bioconductor-biocgenerics:
>=0.48.1,<0.49.0a0- depends bioconductor-biocneighbors:
>=1.20.0,<1.21.0- depends bioconductor-biocneighbors:
>=1.20.0,<1.21.0a0- depends bioconductor-biocparallel:
>=1.36.0,<1.37.0- depends bioconductor-biocparallel:
>=1.36.0,<1.37.0a0- depends bioconductor-flowcore:
>=2.14.0,<2.15.0- depends bioconductor-flowcore:
>=2.14.0,<2.15.0a0- depends bioconductor-s4vectors:
>=0.40.0,<0.41.0- depends bioconductor-s4vectors:
>=0.40.2,<0.41.0a0- depends bioconductor-singlecellexperiment:
>=1.24.0,<1.25.0- depends bioconductor-singlecellexperiment:
>=1.24.0,<1.25.0a0- depends bioconductor-summarizedexperiment:
>=1.32.0,<1.33.0- depends bioconductor-summarizedexperiment:
>=1.32.0,<1.33.0a0- depends libblas:
>=3.9.0,<4.0a0- depends libgcc-ng:
>=12- depends liblapack:
>=3.9.0,<4.0a0- depends libstdcxx-ng:
>=12- depends r-base:
>=4.3,<4.4.0a0- depends r-rcpp:
- depends r-shiny:
- depends r-viridis:
- requirements:
Installation
You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).
While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.
Given that you already have a conda environment in which you want to have this package, install with:
mamba install bioconductor-cydar and update with:: mamba update bioconductor-cydar
To create a new environment, run:
mamba create --name myenvname bioconductor-cydar
with
myenvnamebeing a reasonable name for the environment (see e.g. the mamba docs for details and further options).Alternatively, 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:
[](http://bioconda.github.io/recipes/bioconductor-cydar/README.html)
