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gnu: Add r-ggcyto.
* gnu/packages/bioconductor.scm (r-ggcyto): New variable.
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@ -5371,6 +5371,40 @@ (define-public r-ncdfflow
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manipulation of flow cytometry data.")
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manipulation of flow cytometry data.")
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(license license:artistic2.0)))
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(license license:artistic2.0)))
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(define-public r-ggcyto
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(package
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(name "r-ggcyto")
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(version "1.14.0")
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(source
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(origin
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(method url-fetch)
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(uri (bioconductor-uri "ggcyto" version))
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(sha256
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(base32
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"165qszvy5z176h1l3dnjb5dcm279b6bjl5n5gzz8wfn4xpn8anc8"))))
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(properties `((upstream-name . "ggcyto")))
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(build-system r-build-system)
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(propagated-inputs
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`(("r-data-table" ,r-data-table)
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("r-flowcore" ,r-flowcore)
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("r-flowworkspace" ,r-flowworkspace)
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("r-ggplot2" ,r-ggplot2)
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("r-gridextra" ,r-gridextra)
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("r-ncdfflow" ,r-ncdfflow)
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("r-plyr" ,r-plyr)
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("r-rcolorbrewer" ,r-rcolorbrewer)
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("r-rlang" ,r-rlang)
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("r-scales" ,r-scales)))
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(home-page "https://github.com/RGLab/ggcyto/issues")
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(synopsis "Visualize Cytometry data with ggplot")
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(description
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"With the dedicated fortify method implemented for @code{flowSet},
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@code{ncdfFlowSet} and @code{GatingSet} classes, both raw and gated flow
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cytometry data can be plotted directly with ggplot. The @code{ggcyto} wrapper
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and some custom layers also make it easy to add gates and population
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statistics to the plot.")
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(license license:artistic2.0)))
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(define-public r-flowsom
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(define-public r-flowsom
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(package
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(package
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(name "r-flowsom")
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(name "r-flowsom")
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