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BiocSingular

This is thereleased version of BiocSingular; for the devel version, seeBiocSingular.

Singular Value Decomposition for Bioconductor Packages

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DOI: 10.18129/B9.bioc.BiocSingular


Bioconductor version: Release (3.22)

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 gmail.com>

Citation (from within R, entercitation("BiocSingular")):

Installation

To install this package, start R (version "4.5") and enter:

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

For older versions of R, please refer to the appropriateBioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("BiocSingular")
1. SVD and PCAHTMLR Script
2. Matrix classesHTMLR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsDimensionReduction,PrincipalComponent,Software
Version1.26.1
In Bioconductor sinceBioC 3.9 (R-3.6) (6.5 years)
LicenseGPL-3
Depends
ImportsBiocGenerics,S4Vectors,Matrix, methods, utils,DelayedArray,BiocParallel,ScaledMatrix,irlba,rsvd,Rcpp,beachmat(>= 2.25.1)
System RequirementsC++17
URLhttps://github.com/LTLA/BiocSingular
Bug Reportshttps://github.com/LTLA/BiocSingular/issues
See More
Suggeststestthat,BiocStyle,knitr,rmarkdown,ResidualMatrix
Linking ToRcpp,beachmat,assorthead
Enhances
Depends On MeOSCA.advanced, OSCA.basic, OSCA.multisample, OSCA.workflows
Imports Mebatchelor,BayesSpace,clusterExperiment,COTAN,DelayedTensor,Dino,GSVA,miloR,MPAC,mumosa,NanoMethViz,NewWave,omicsGMF,ReactomeGSA,SCArray,SCArray.sat,scater,scDblFinder,scMerge,scran,scry,StabMap,velociraptor
Suggests Mealabaster.matrix,chihaya,ResidualMatrix,ScaledMatrix,splatter,SuperCellCyto,Voyager,HCAData
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackageBiocSingular_1.26.1.tar.gz
Windows Binary (x86_64) BiocSingular_1.26.1.zip
macOS Binary (x86_64)BiocSingular_1.26.1.tgz
macOS Binary (arm64)BiocSingular_1.26.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/BiocSingular
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/BiocSingular
Bioc Package Browserhttps://code.bioconductor.org/browse/BiocSingular/
Package Short Urlhttps://bioconductor.org/packages/BiocSingular/
Package Downloads ReportDownload Stats
Old Source Packages for BioC 3.22Source Archive

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