BiocSingular
Singular Value Decomposition for Bioconductor Packages
Bioconductor version: 3.23 · Package version: 1.28.0
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.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("BiocSingular")Details
| Maintainer | Aaron Lun <infinite.monkeys.with.keyboards@gmail.com> |
| Author | Aaron Lun [aut, cre, cph] |
| License | GPL-3 |
| URL | https://github.com/LTLA/BiocSingular |
| Bug Reports | https://github.com/LTLA/BiocSingular/issues |
| System Requirements | C++17 |
| Downloads rank | 16814 |
| Source branch | RELEASE_3_23 |
| biocViews | DimensionReduction, PrincipalComponent, Software |
Documentation
- Singular value decomposition for Bioconductor packages
- Matrix representations to support decomposition
Download
Dependencies
Imports: BiocGenerics, S4Vectors, Matrix, methods, utils, DelayedArray, BiocParallel, ScaledMatrix, irlba, rsvd, Rcpp, beachmat (>= 2.25.1)
LinkingTo: Rcpp, beachmat, assorthead
Suggests: testthat, BiocStyle, knitr, rmarkdown, ResidualMatrix
Reverse dependencies
Imports Me (26): batchelor, BayesSpace, clusterExperiment, COTAN, DelayedTensor, Dino, GSVA, miloR, MPAC, mumosa, NanoMethViz, NewWave, omicsGMF, PCAtools, ReactomeGSA, SCArray, SCArray.sat, scater, scDblFinder, scMerge, scran, scry, Seqtometry, SpaNorm, StabMap, velociraptor
Suggests Me (9): alabaster.matrix, chihaya, HCAData, ResidualMatrix, ScaledMatrix, spatialHeatmap, splatter, SuperCellCyto, Voyager