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SingleR

This is the development version of SingleR; for the stable release version, see SingleR.

All versions

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10

Reference-Based Single-Cell RNA-Seq Annotation

DOI: 10.18129/B9.bioc.SingleR

Bioconductor version: Development (3.24)

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, enter citation("SingleR")):

Dvir Aran. SingleR: Reference-Based Single-Cell RNA-Seq Annotation. doi:10.18129/B9.bioc.SingleR, R package version 2.15.4, https://bioconductor.org/packages/SingleR.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

## The following initializes the development version of Bioconductor
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")

Details

Package Archives

Follow Installation instructions to use this package in your R session.