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author | Ricardo Wurmus <rekado@elephly.net> | 2022-04-14 06:55:20 +0200 |
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committer | Ricardo Wurmus <rekado@elephly.net> | 2022-04-14 06:55:20 +0200 |
commit | f6bc281cd7ffea91764ecfc63aa57b533c884f97 (patch) | |
tree | a53e88243bfbcf93f05393ae75e09c65a13c507d /gnu/packages | |
parent | 5743d505834a8b13778da2c969ea4e15bb7a3a75 (diff) | |
download | guix-f6bc281cd7ffea91764ecfc63aa57b533c884f97.tar guix-f6bc281cd7ffea91764ecfc63aa57b533c884f97.tar.gz |
gnu: r-tricycle: Move out of annotation packages.
* gnu/packages/bioconductor.scm (r-tricycle): Move definition out of the
section containing annotation packages.
Diffstat (limited to 'gnu/packages')
-rw-r--r-- | gnu/packages/bioconductor.scm | 74 |
1 files changed, 37 insertions, 37 deletions
diff --git a/gnu/packages/bioconductor.scm b/gnu/packages/bioconductor.scm index 803437a033..d3b5678343 100644 --- a/gnu/packages/bioconductor.scm +++ b/gnu/packages/bioconductor.scm @@ -775,43 +775,6 @@ Ensembl.") Ensembl.") (license license:artistic2.0))) -(define-public r-tricycle - (package - (name "r-tricycle") - (version "1.2.1") - (source (origin - (method url-fetch) - (uri (bioconductor-uri "tricycle" version)) - (sha256 - (base32 - "19yh7yif8630j845m9rddva2z0xy4jcw9j4hvyr076jqbyxz998r")))) - (properties `((upstream-name . "tricycle"))) - (build-system r-build-system) - (propagated-inputs (list r-annotationdbi - r-circular - r-dplyr - r-genomicranges - r-ggplot2 - r-iranges - r-rcolorbrewer - r-s4vectors - r-scater - r-scattermore - r-singlecellexperiment - r-summarizedexperiment)) - (native-inputs (list r-knitr)) - (home-page "https://github.com/hansenlab/tricycle") - (synopsis "Transferable representation and inference of cell cycle") - (description - "The package contains functions to infer and visualize cell cycle process -using Single-cell RNA-Seq data. It exploits the idea of transfer learning, -projecting new data to the previous learned biologically interpretable space. -The @code{tricycle} provides a pre-learned cell cycle space, which could be -used to infer cell cycle time of human and mouse single cell samples. In -addition, it also offer functions to visualize cell cycle time on different -embeddings and functions to build new reference.") - (license license:gpl3))) - (define-public r-txdb-dmelanogaster-ucsc-dm6-ensgene (package (name "r-txdb-dmelanogaster-ucsc-dm6-ensgene") @@ -15424,6 +15387,43 @@ regions) and methods for visualization (e.g., survival plots, volcano plots, starburst plots) in order to easily develop complete analysis pipelines.") (license license:gpl3+))) +(define-public r-tricycle + (package + (name "r-tricycle") + (version "1.2.1") + (source (origin + (method url-fetch) + (uri (bioconductor-uri "tricycle" version)) + (sha256 + (base32 + "19yh7yif8630j845m9rddva2z0xy4jcw9j4hvyr076jqbyxz998r")))) + (properties `((upstream-name . "tricycle"))) + (build-system r-build-system) + (propagated-inputs (list r-annotationdbi + r-circular + r-dplyr + r-genomicranges + r-ggplot2 + r-iranges + r-rcolorbrewer + r-s4vectors + r-scater + r-scattermore + r-singlecellexperiment + r-summarizedexperiment)) + (native-inputs (list r-knitr)) + (home-page "https://github.com/hansenlab/tricycle") + (synopsis "Transferable representation and inference of cell cycle") + (description + "The package contains functions to infer and visualize cell cycle process +using Single-cell RNA-Seq data. It exploits the idea of transfer learning, +projecting new data to the previous learned biologically interpretable space. +The @code{tricycle} provides a pre-learned cell cycle space, which could be +used to infer cell cycle time of human and mouse single cell samples. In +addition, it also offer functions to visualize cell cycle time on different +embeddings and functions to build new reference.") + (license license:gpl3))) + (define-public r-tximeta (package (name "r-tximeta") |