DOI: 10.18129/B9.bioc.SingleR  

This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see SingleR.

Reference-Based Single-Cell RNA-Seq Annotation

Bioconductor version: 3.16

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 D√ľndar [ctb]

Maintainer: Aaron Lun <infinite.monkeys.with.keyboards at>

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HTML R Script Annotating scRNA-seq data
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biocViews Annotation, Classification, Clustering, GeneExpression, SingleCell, Software, Transcriptomics
Version 2.0.0
In Bioconductor since BioC 3.10 (R-3.6) (3.5 years)
License GPL-3 + file LICENSE
Depends SummarizedExperiment
Imports methods, Matrix, S4Vectors, DelayedArray, DelayedMatrixStats, BiocParallel, BiocSingular, stats, utils, Rcpp, beachmat, parallel
LinkingTo Rcpp, beachmat, BiocNeighbors
Suggests testthat, knitr, rmarkdown, BiocStyle, BiocGenerics, SingleCellExperiment, scuttle, scater, scran, scRNAseq, ggplot2, pheatmap, grDevices, gridExtra, viridis, celldex
SystemRequirements C++17
Depends On Me OSCA.advanced, OSCA.basic, OSCA.multisample, OSCA.workflows, SingleRBook
Imports Me singleCellTK
Suggests Me tidySingleCellExperiment
Links To Me
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