DOI: 10.18129/B9.bioc.BiocSingular    

This package is for version 3.10 of Bioconductor; for the stable, up-to-date release version, see BiocSingular.

Singular Value Decomposition for Bioconductor Packages

Bioconductor version: 3.10

Implements exact and approximate methods for singular value decomposition and principal components analysis, in a framework that allows them to be easily switched within Bioconductor packages or workflows. Where possible, parallelization is achieved using the BiocParallel framework.

Author: Aaron Lun [aut, cre, cph]

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

Citation (from within R, enter citation("BiocSingular")):


To install this package, start R (version "3.6") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))


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:



HTML R Script 1. SVD and PCA
HTML R Script 2. Matrix classes
PDF   Reference Manual
Text   NEWS


biocViews DimensionReduction, PrincipalComponent, Software
Version 1.2.2
In Bioconductor since BioC 3.9 (R-3.6) (1 year)
License GPL-3
Imports BiocGenerics, S4Vectors, Matrix, methods, utils, DelayedArray, BiocParallel, irlba, rsvd, Rcpp
LinkingTo Rcpp, beachmat
Suggests testthat, BiocStyle, knitr, rmarkdown, beachmat
SystemRequirements C++11
Depends On Me
Imports Me batchelor, PCAtools, scater, scMerge, scran
Suggests Me HCAData
Links To Me
Build Report  

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

Source Package BiocSingular_1.2.2.tar.gz
Windows Binary (32- & 64-bit)
Mac OS X 10.11 (El Capitan) BiocSingular_1.2.2.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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