SingleR
This is the development version of SingleR; for the stable release version, see SingleR.
Reference-Based Single-Cell RNA-Seq Annotation
Bioconductor version: Development (3.21)
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 "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
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 |
Details
biocViews | Annotation, Classification, Clustering, GeneExpression, SingleCell, Software, Transcriptomics |
Version | 2.9.0 |
In Bioconductor since | BioC 3.10 (R-3.6) (5 years) |
License | GPL-3 |
Depends | SummarizedExperiment |
Imports | methods, Matrix, S4Vectors, DelayedArray, DelayedMatrixStats, BiocParallel, BiocSingular, BiocNeighbors, stats, utils, Rcpp, beachmat(>= 2.21.1), parallel |
System Requirements | C++17 |
URL | https://github.com/SingleR-inc/SingleR |
Bug Reports | https://github.com/SingleR-inc/SingleR/issues |
See More
Suggests | testthat, knitr, rmarkdown, BiocStyle, BiocGenerics, SingleCellExperiment, scuttle, scater, scran, scRNAseq, ggplot2, pheatmap, grDevices, gridExtra, viridis, celldex |
Linking To | Rcpp, beachmat, assorthead, BiocNeighbors |
Enhances | |
Depends On Me | OSCA.workflows, SingleRBook |
Imports Me | singleCellTK |
Suggests Me | scDiagnostics, sketchR, tidySingleCellExperiment, tidyseurat |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | SingleR_2.9.0.tar.gz |
Windows Binary (x86_64) | |
macOS Binary (x86_64) | |
macOS Binary (arm64) | |
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 |