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authorRicardo Wurmus <rekado@elephly.net>2022-04-14 06:55:20 +0200
committerRicardo Wurmus <rekado@elephly.net>2022-04-14 06:55:20 +0200
commitf6bc281cd7ffea91764ecfc63aa57b533c884f97 (patch)
treea53e88243bfbcf93f05393ae75e09c65a13c507d /gnu/packages
parent5743d505834a8b13778da2c969ea4e15bb7a3a75 (diff)
downloadguix-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.scm74
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")