From fdbc472bd1c8b15195192196f1ef049fe3094110 Mon Sep 17 00:00:00 2001 From: zimoun Date: Tue, 8 Mar 2022 20:06:12 +0100 Subject: gnu: Add r-scannotatr. * gnu/packages/bioconductor.scm (r-scannotatr): New variable. --- gnu/packages/bioconductor.scm | 37 +++++++++++++++++++++++++++++++++++++ 1 file changed, 37 insertions(+) diff --git a/gnu/packages/bioconductor.scm b/gnu/packages/bioconductor.scm index bd77cc21d4..2161a162ab 100644 --- a/gnu/packages/bioconductor.scm +++ b/gnu/packages/bioconductor.scm @@ -4387,6 +4387,43 @@ differential expression analysis, RNAseq data and related problems.") ;; Any version of the LGPL (license license:lgpl3+))) +(define-public r-scannotatr + (package + (name "r-scannotatr") + (version "1.0.0") + (source + (origin + (method url-fetch) + (uri (bioconductor-uri "scAnnotatR" version)) + (sha256 + (base32 "08jq04ckjw8a5y753almc5bl8vnn4j6qp2zb7bb9w3ql3ddy7b21")))) + (properties `((upstream-name . "scAnnotatR"))) + (build-system r-build-system) + (propagated-inputs + (list r-annotationhub + r-ape + r-caret + r-data-tree + r-dplyr + r-e1071 + r-ggplot2 + r-kernlab + r-proc + r-rocr + r-seurat + r-singlecellexperiment + r-summarizedexperiment)) + (native-inputs (list r-knitr)) + (home-page "https://github.com/grisslab/scAnnotatR") + (synopsis "Pretrained models for prediction on single cell RNA-sequencing data") + (description + "This package comprises a set of pretrained machine learning models to +predict basic immune cell types. This enables to quickly get a first +annotation of the cell types present in the dataset without requiring prior +knowledge. The package also lets you train using own models to predict new +cell types based on specific research needs.") + (license license:expat))) + (define-public r-scdblfinder (package (name "r-scdblfinder") -- cgit v1.2.3