~ruther/guix-local

7ea473d0cd6c7dbe955b2f4a0bbb6ffb844b3732 — Navid Afkhami 2 years ago 325f46b
gnu: Add r-raceid.

* gnu/packages/cran.scm (r-raceid): New variable.

Change-Id: I337463c66040179f5a4a1622fb759a87ebd2344a
Signed-off-by: Ricardo Wurmus <rekado@elephly.net>
1 files changed, 47 insertions(+), 0 deletions(-)

M gnu/packages/cran.scm
M gnu/packages/cran.scm => gnu/packages/cran.scm +47 -0
@@ 13127,6 13127,53 @@ files.")
environment within Shiny.")
    (license license:expat)))

(define-public r-raceid
  (package
    (name "r-raceid")
    (version "0.3.6")
    (source
     (origin
       (method url-fetch)
       (uri (cran-uri "RaceID" version))
       (sha256
        (base32 "0zqas0dfsvcbjzv2b83zy13pxyzfhh81xrfbzxq8a7ykk0nyrx26"))))
    (properties `((upstream-name . "RaceID")))
    (build-system r-build-system)
    (propagated-inputs (list r-cluster
                             r-coop
                             r-fateid
                             r-fnn
                             r-fpc
                             r-ggplot2
                             r-harmony
                             r-ica
                             r-igraph
                             r-irlba
                             r-leiden
                             r-locfit
                             r-mass
                             r-matrix
                             r-matrixstats
                             r-pheatmap
                             r-princurve
                             r-quadprog
                             r-randomforest
                             r-rcolorbrewer
                             r-rcpp
                             r-rtsne
                             r-runner
                             r-umap
                             r-vegan))
    (native-inputs (list r-knitr))
    (home-page "https://cran.r-project.org/package=RaceID")
    (synopsis
     "Algorithm for inferring cell types from single-cell RNA-seq data")
    (description
     "This tool provides an algorithm to identify rare cell types in
single-cell data.  It also identifies abundant cell types.  The method is
based on transcript counts obtained with unique molecular identifies.")
    (license license:gpl3)))

(define-public r-rafalib
  (package
    (name "r-rafalib")