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Bioconductor 3.22 Released

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SingleR

This is thereleased version of SingleR; for the devel version, seeSingleR.

Reference-Based Single-Cell RNA-Seq Annotation

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DOI: 10.18129/B9.bioc.SingleR


Bioconductor version: Release (3.22)

Performs unbiased cell type recognition from single-cell RNA sequencing data, by leveraging reference transcriptomic datasets of pure cell types to infer the cell of origin of each single cell independently.

Author: Dvir Aran [aut, cph], Aaron Lun [ctb, cre], Daniel Bunis [ctb], Jared Andrews [ctb], Friederike Dündar [ctb]

Maintainer: Aaron Lun <infinite.monkeys.with.keyboards at gmail.com>

Citation (from within R, entercitation("SingleR")):

Installation

To install this package, start R (version "4.5") and enter:

if (!require("BiocManager", quietly = TRUE))    install.packages("BiocManager")BiocManager::install("SingleR")

For older versions of R, please refer to the appropriateBioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("SingleR")
Annotating scRNA-seq dataHTMLR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsAnnotation,Classification,Clustering,GeneExpression,SingleCell,Software,Transcriptomics
Version2.12.0
In Bioconductor sinceBioC 3.10 (R-3.6) (6 years)
LicenseGPL-3
DependsSummarizedExperiment
Importsmethods,Matrix,S4Vectors,DelayedArray,DelayedMatrixStats,BiocParallel,BiocNeighbors, stats, utils,Rcpp,beachmat(>= 2.25.1)
System RequirementsC++17
URLhttps://github.com/SingleR-inc/SingleR
Bug Reportshttps://github.com/SingleR-inc/SingleR/issues
See More
Suggeststestthat,knitr,rmarkdown,BiocStyle,BiocGenerics,SingleCellExperiment,scuttle,scrapper(>= 1.3.14),scRNAseq,ggplot2,pheatmap, grDevices,gridExtra,viridis,celldex
Linking ToRcpp,beachmat,assorthead(>= 1.3.5),BiocNeighbors
Enhances
Depends On MeOSCA.advanced, OSCA.basic, OSCA.multisample, OSCA.workflows, SingleRBook
Imports MesingleCellTK, OSTA,scPipeline
Suggests MeCoralysis,scDiagnostics,scGraphVerse,sketchR,tidySingleCellExperiment
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackageSingleR_2.12.0.tar.gz
Windows Binary (x86_64) SingleR_2.12.0.zip (64-bit only)
macOS Binary (x86_64)SingleR_2.12.0.tgz
macOS Binary (arm64)SingleR_2.12.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/SingleR
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/SingleR
Bioc Package Browserhttps://code.bioconductor.org/browse/SingleR/
Package Short Urlhttps://bioconductor.org/packages/SingleR/
Package Downloads ReportDownload Stats

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