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