SingleR
This package is for version 3.11 of Bioconductor; for the stable, up-to-date release version, see SingleR.
Reference-Based Single-Cell RNA-Seq Annotation
Bioconductor version: 3.11
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 "4.0") 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 | 1.2.4 |
| In Bioconductor since | BioC 3.10 (R-3.6) (4.5 years) |
| License | GPL-3 + file LICENSE |
| Depends | SummarizedExperiment |
| Imports | methods, Matrix, S4Vectors, BiocGenerics, DelayedArray, DelayedMatrixStats, BiocNeighbors, BiocParallel, BiocSingular, stats, utils, Rcpp, ExperimentHub |
| System Requirements | C++11 |
| URL | https://github.com/LTLA/SingleR |
| Bug Reports | https://support.bioconductor.org/ |
See More
| Suggests | testthat, knitr, rmarkdown, BiocStyle, beachmat, SingleCellExperiment, scater, scRNAseq, scran, ggplot2, pheatmap, grDevices, gridExtra, viridis, AnnotationHub, AnnotationDbi |
| Linking To | Rcpp, beachmat |
| Enhances | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | ontoProc |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | SingleR_1.2.4.tar.gz |
| Windows Binary | SingleR_1.2.4.zip (32- & 64-bit) |
| macOS 10.13 (High Sierra) | SingleR_1.2.4.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 |
| Old Source Packages for BioC 3.11 | Source Archive |