scPCA
This is thereleased version of scPCA; for the devel version, seescPCA.
Sparse Contrastive Principal Component Analysis
Bioconductor version: Release (3.22)
A toolbox for sparse contrastive principal component analysis (scPCA) of high-dimensional biological data. scPCA combines the stability and interpretability of sparse PCA with contrastive PCA's ability to disentangle biological signal from unwanted variation through the use of control data. Also implements and extends cPCA.
Author: Philippe Boileau [aut, cre, cph]
ORCID: 0000-0002-4850-2507, Nima Hejazi [aut] ORCID: 0000-0002-7127-2789, Sandrine Dudoit [ctb, ths] ORCID: 0000-0002-6069-8629
Maintainer: Philippe Boileau <philippe_boileau at berkeley.edu>
citation("scPCA")):Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager")BiocManager::install("scPCA")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("scPCA")| Sparse contrastive principal component analysis | HTML | R Script |
| Reference Manual | ||
| NEWS | Text | |
| LICENSE | Text |
Details
| biocViews | DifferentialExpression,GeneExpression,Microarray,PrincipalComponent,RNASeq,Sequencing,Software |
| Version | 1.24.0 |
| In Bioconductor since | BioC 3.10 (R-3.6) (6 years) |
| License | MIT + fileLICENSE |
| Depends | R (>= 4.0.0) |
| Imports | stats, methods,assertthat,tibble,dplyr,purrr,stringr,Rdpack,matrixStats,BiocParallel,elasticnet,sparsepca,cluster,kernlab,origami,RSpectra,coop,Matrix,DelayedArray,ScaledMatrix,MatrixGenerics |
| System Requirements | |
| URL | https://github.com/PhilBoileau/scPCA |
| Bug Reports | https://github.com/PhilBoileau/scPCA/issues |
See More
| Suggests | DelayedMatrixStats,sparseMatrixStats,testthat (>= 2.1.0),covr,knitr,rmarkdown,BiocStyle,ggplot2,ggpubr,splatter,SingleCellExperiment,microbenchmark |
| Linking To | |
| Enhances | |
| Depends On Me | OSCA.advanced, OSCA.workflows |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report | Build Report |
Package Archives
FollowInstallation instructions to use this package in your R session.
| Source Package | scPCA_1.24.0.tar.gz |
| Windows Binary (x86_64) | scPCA_1.24.0.zip |
| macOS Binary (x86_64) | scPCA_1.24.0.tgz |
| macOS Binary (arm64) | scPCA_1.24.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/scPCA |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/scPCA |
| Bioc Package Browser | https://code.bioconductor.org/browse/scPCA/ |
| Package Short Url | https://bioconductor.org/packages/scPCA/ |
| Package Downloads Report | Download Stats |