SingleR
This package is for version 3.19 of Bioconductor; for the stable, up-to-date release version, see SingleR.
Reference-Based Single-Cell RNA-Seq Annotation
Bioconductor version: 3.19
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("SingleR")
):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("SingleR")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("SingleR")
Annotating scRNA-seq data | HTML | R Script |
Reference Manual | ||
NEWS | Text | |
LICENSE | Text |
Details
biocViews | Annotation, Classification, Clustering, GeneExpression, SingleCell, Software, Transcriptomics |
Version | 2.6.0 |
In Bioconductor since | BioC 3.10 (R-3.6) (5 years) |
License | GPL-3 + file LICENSE |
Depends | SummarizedExperiment |
Imports | methods, Matrix, S4Vectors, DelayedArray, DelayedMatrixStats, BiocParallel, BiocSingular, stats, utils, Rcpp, beachmat, parallel |
System Requirements | C++17 |
URL | https://github.com/LTLA/SingleR |
Bug Reports | https://support.bioconductor.org/ |
See More
Suggests | testthat, knitr, rmarkdown, BiocStyle, BiocGenerics, SingleCellExperiment, scuttle, scater, scran, scRNAseq, ggplot2, pheatmap, grDevices, gridExtra, viridis, celldex |
Linking To | Rcpp, beachmat, BiocNeighbors |
Enhances | |
Depends On Me | OSCA.advanced, OSCA.basic, OSCA.multisample, OSCA.workflows, SingleRBook |
Imports Me | singleCellTK |
Suggests Me | sketchR, tidySingleCellExperiment, tidySpatialExperiment, tidyseurat |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | SingleR_2.6.0.tar.gz |
Windows Binary (x86_64) | SingleR_2.6.0.zip |
macOS Binary (x86_64) | SingleR_2.6.0.tgz |
macOS Binary (arm64) | SingleR_2.6.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/SingleR |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/SingleR |
Bioc Package Browser | https://code.bioconductor.org/browse/SingleR/ |
Package Short Url | https://bioconductor.org/packages/SingleR/ |
Package Downloads Report | Download Stats |