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(license license:gpl2))) +;; It doesn't have a system of releases. This package depends on a bioconductor +;; input. +(define-public r-cytobackbone + (let ((commit "4c1a0a35cc5ae1f8f516127cec92351d96fe26e7") (revision "1")) + (package + (name "r-cytobackbone") + (version (git-version "1.0.0" revision commit)) + (source (origin + (method git-fetch) + (uri (git-reference + (url "https://github.com/tchitchek-lab/CytoBackBone") + (commit commit))) + (file-name (git-file-name name version)) + (sha256 + (base32 + "0ahiad14zcgdk42xzw5xryic2ibn2l8lkrcdvl2b5sz2js028yb3")))) + (properties `((upstream-name #{.}# "CytoBackBone"))) + (build-system r-build-system) + (propagated-inputs (list r-flowcore r-flowutils r-fnn r-ggplot2 + r-preprocesscore)) + (native-inputs (list r-knitr)) + (home-page "https://github.com/tchitchek-lab/CytoBackBone") + (synopsis + "Merging of phenotype information from different cytometric profiles") + (description + "Single-cell technologies are the most suitable techniques for the +characterization of cells by the differential expression of the molecules that +define their roles and functions in tissues. Among these techniques, mass +cytometry represents a leap forward by increasing the number of available +measurements to approximately 40 cell markers. Thanks to this technology, +detailed immune responses were described in several diseases. However, the +study of immune responses, such as that due to viral infections or auto-immune +diseases, could be further improved by increasing the number of simultaneously +measurable markers. To increase this number, we designed an algorithm, named +@code{CytoBackBone}, which combines phenotypic information of different +cytometric profiles obtained from different cytometry panels.") + (license license:gpl2)))) + (define-public r-cytolib (package (name "r-cytolib")