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author | Mădălin Ionel Patrașcu <madalinionel.patrascu@mdc-berlin.de> | 2023-02-27 11:28:46 +0100 |
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committer | Ricardo Wurmus <rekado@elephly.net> | 2023-03-01 13:46:02 +0100 |
commit | 1fb43d1d19515692b65986a16777b42ddb2fac5c (patch) | |
tree | 48b17a8cc6ea14de0b75d8ecbbb7379c8831756a /gnu | |
parent | 020e5ac362e3dbb578da40adeaa929a2f5fd3929 (diff) | |
download | guix-1fb43d1d19515692b65986a16777b42ddb2fac5c.tar.gz |
gnu: Add r-conos.
* gnu/packages/bioconductor.scm (r-conos): New variable.
Diffstat (limited to 'gnu')
-rw-r--r-- | gnu/packages/bioconductor.scm | 51 |
1 files changed, 51 insertions, 0 deletions
diff --git a/gnu/packages/bioconductor.scm b/gnu/packages/bioconductor.scm index 8abbdfd026..45798e191f 100644 --- a/gnu/packages/bioconductor.scm +++ b/gnu/packages/bioconductor.scm @@ -5581,6 +5581,57 @@ provides a highly flexible way to arrange multiple heatmaps and supports self-defined annotation graphics.") (license license:gpl2+))) +;; This is a CRAN package, but it depends on r-complexheatmap from +;; Bioconductor. +(define-public r-conos + (package + (name "r-conos") + (version "1.5.0") + (source + (origin + (method url-fetch) + (uri (cran-uri "conos" version)) + (sha256 + (base32 "1wdhb3jxh4id6xaghawzip8s264g9jxp4i5xy7jfhi67yfxszx6w")))) + (properties `((upstream-name . "conos"))) + (build-system r-build-system) + (propagated-inputs + (list r-abind + r-complexheatmap + r-cowplot + r-dendextend + r-dplyr + r-ggplot2 + r-ggrepel + r-gridextra + r-igraph + r-irlba + r-leidenalg + r-magrittr + r-matrix + r-n2r + r-r6 + r-rcpp + r-rcpparmadillo + r-rcppeigen + r-rcppprogress + r-reshape2 + r-rlang + r-rtsne + r-sccore)) + (home-page "https://github.com/kharchenkolab/conos") + (synopsis "Clustering on network of samples") + (description + "This package wires together large collections of single-cell RNA-seq +datasets, which allows for both the identification of recurrent cell clusters +and the propagation of information between datasets in multi-sample or +atlas-scale collections. Conos focuses on the uniform mapping of homologous +cell types across heterogeneous sample collections. For instance, users could +investigate a collection of dozens of peripheral blood samples from cancer +patients combined with dozens of controls, which perhaps includes samples of a +related tissue such as lymph nodes.") + (license license:gpl3))) + (define-public r-copywriter (package (name "r-copywriter") |