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| author | Ricardo Wurmus <rekado@elephly.net> | 2019-03-29 19:28:03 +0100 |
|---|---|---|
| committer | Ricardo Wurmus <rekado@elephly.net> | 2019-03-29 19:28:03 +0100 |
| commit | 5cfa4bff697fa0af43f6a7bbde7ec23c8a146e10 (patch) | |
| tree | 6cc67907c81c0703f8e8902440937b8a88d243d0 | |
| parent | ffe7029babb40481f50cf931b28e92c8f74dfe01 (diff) | |
gnu: Add r-ebimage.
* gnu/packages/bioconductor.scm (r-ebimage): New variable.
| -rw-r--r-- | gnu/packages/bioconductor.scm | 40 |
1 files changed, 40 insertions, 0 deletions
diff --git a/gnu/packages/bioconductor.scm b/gnu/packages/bioconductor.scm index 6a7c98f625..f6ffacc04e 100644 --- a/gnu/packages/bioconductor.scm +++ b/gnu/packages/bioconductor.scm @@ -30,6 +30,7 @@ #:use-module (gnu packages gcc) #:use-module (gnu packages graph) #:use-module (gnu packages haskell) + #:use-module (gnu packages image) #:use-module (gnu packages maths) #:use-module (gnu packages pkg-config) #:use-module (gnu packages statistics) @@ -3586,3 +3587,42 @@ procedure. In addition, since the cells are evaluated individually, it can easily be applied to bigger datasets, subsetting the expression matrix if needed.") (license license:gpl3))) + +(define-public r-ebimage + (package + (name "r-ebimage") + (version "4.24.0") + (source + (origin + (method url-fetch) + (uri (bioconductor-uri "EBImage" version)) + (sha256 + (base32 + "18v2zr7xh0d0xbs7mxa2b6xjqlqiml0hji27gq1351xp5bf2pxvx")))) + (properties `((upstream-name . "EBImage"))) + (build-system r-build-system) + (propagated-inputs + `(("r-abind" ,r-abind) + ("r-biocgenerics" ,r-biocgenerics) + ("r-fftwtools" ,r-fftwtools) + ("r-htmltools" ,r-htmltools) + ("r-htmlwidgets" ,r-htmlwidgets) + ("r-jpeg" ,r-jpeg) + ("r-locfit" ,r-locfit) + ("r-png" ,r-png) + ("r-rcurl" ,r-rcurl) + ("r-tiff" ,r-tiff))) + (native-inputs + `(("r-knitr" ,r-knitr))) ; for vignettes + (home-page "https://github.com/aoles/EBImage") + (synopsis "Image processing and analysis toolbox for R") + (description + "EBImage provides general purpose functionality for image processing and +analysis. In the context of (high-throughput) microscopy-based cellular +assays, EBImage offers tools to segment cells and extract quantitative +cellular descriptors. This allows the automation of such tasks using the R +programming language and facilitates the use of other tools in the R +environment for signal processing, statistical modeling, machine learning and +visualization with image data.") + ;; Any version of the LGPL. + (license license:lgpl2.1+))) |