gnu: Add r-decoupler.

* gnu/packages/bioconductor.scm (r-decoupler): New variable.
This commit is contained in:
Ricardo Wurmus 2022-05-28 12:19:36 +02:00
parent 556ca8ba21
commit 413133e430
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@ -2167,6 +2167,47 @@ (define-public r-decipher
biological sequences.")
(license license:gpl3)))
(define-public r-decoupler
(package
(name "r-decoupler")
(version "2.2.2")
(source
(origin
(method url-fetch)
(uri (bioconductor-uri "decoupleR" version))
(sha256
(base32 "0q1w8yw3bwx8ai5z8rw8lz97w4cplxijq93634hza2vgkig1ck9m"))))
(properties `((upstream-name . "decoupleR")))
(build-system r-build-system)
(propagated-inputs
(list r-broom
r-dplyr
r-magrittr
r-matrix
r-purrr
r-rlang
r-stringr
r-tibble
r-tidyr
r-tidyselect
r-withr))
(native-inputs (list r-knitr))
(home-page "https://saezlab.github.io/decoupleR/")
(synopsis "Computational methods to infer biological activities from omics data")
(description
"Many methods allow us to extract biological activities from omics data using
information from prior knowledge resources, reducing the dimensionality for
increased statistical power and better interpretability. decoupleR is a
Bioconductor package containing different statistical methods to extract these
signatures within a unified framework. decoupleR allows the user to flexibly
test any method with any resource. It incorporates methods that take into
account the sign and weight of network interactions. decoupleR can be used
with any omic, as long as its features can be linked to a biological process
based on prior knowledge. For example, in transcriptomics gene sets regulated
by a transcription factor, or in phospho-proteomics phosphosites that are
targeted by a kinase.")
(license license:gpl3)))
(define-public r-deepsnv
(package
(name "r-deepsnv")