recipe bioconductor-cytofpower

Power analysis for CyTOF experiments






This package is a tool to predict the power of CyTOF experiments in the context of differential state analyses. The package provides a shiny app with two options to predict the power of an experiment: i. generation of in-sicilico CyTOF data, using users input ii. browsing in a grid of parameters for which the power was already precomputed.

package bioconductor-cytofpower

(downloads) docker_bioconductor-cytofpower



depends bioconductor-cytoglmm:


depends bioconductor-diffcyt:


depends bioconductor-summarizedexperiment:


depends r-base:


depends r-dplyr:

depends r-dt:

depends r-ggplot2:

depends r-magrittr:

depends r-rlang:

depends r-shiny:

depends r-shinyfeedback:

depends r-shinyjs:

depends r-shinymatrix:

depends r-tibble:

depends r-tidyr:



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-cytofpower

and update with::

   mamba update bioconductor-cytofpower

To create a new environment, run:

mamba create --name myenvname bioconductor-cytofpower

with myenvname being a reasonable name for the environment (see e.g. the mamba docs for details and further options).

Alternatively, use the docker container:

   docker pull<tag>

(see `bioconductor-cytofpower/tags`_ for valid values for ``<tag>``)

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