 
  
 
   
   This package is for version 3.12 of Bioconductor; for the stable, up-to-date release version, see SingleR.
Bioconductor version: 3.12
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")):
To install this package, start R (version "4.0") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("SingleR")
    For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("SingleR")
    
| HTML | R Script | Annotating scRNA-seq data | 
| Reference Manual | ||
| Text | NEWS | |
| Text | LICENSE | 
| biocViews | Annotation, Classification, Clustering, GeneExpression, SingleCell, Software, Transcriptomics | 
| Version | 1.4.1 | 
| In Bioconductor since | BioC 3.10 (R-3.6) (1.5 years) | 
| License | GPL-3 + file LICENSE | 
| Depends | SummarizedExperiment | 
| Imports | methods, Matrix, S4Vectors, DelayedArray, DelayedMatrixStats, BiocNeighbors, BiocParallel, BiocSingular, stats, utils, Rcpp, beachmat | 
| LinkingTo | Rcpp, beachmat | 
| Suggests | testthat, knitr, rmarkdown, BiocStyle, BiocGenerics, SingleCellExperiment, scuttle, scater, scran, scRNAseq, ggplot2, pheatmap, grDevices, gridExtra, viridis, celldex | 
| SystemRequirements | C++11 | 
| Enhances | |
| URL | https://github.com/LTLA/SingleR | 
| BugReports | https://support.bioconductor.org/ | 
| Depends On Me | |
| Imports Me | |
| Suggests Me | tidySingleCellExperiment | 
| Links To Me | |
| Build Report | 
Follow Installation instructions to use this package in your R session.
| Source Package | SingleR_1.4.1.tar.gz | 
| Windows Binary | SingleR_1.4.1.zip (32- & 64-bit) | 
| macOS 10.13 (High Sierra) | SingleR_1.4.1.tgz | 
| Source Repository | git clone https://git.bioconductor.org/packages/SingleR | 
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/SingleR | 
| Package Short Url | https://bioconductor.org/packages/SingleR/ | 
| Package Downloads Report | Download Stats | 
 
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