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scPCA
This is the development version of scPCA; for the stable release version, see scPCA.
Sparse Contrastive Principal Component Analysis
Bioconductor version: Development (3.23)
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 iD ORCID: 0000-0002-4850-2507 , Nima Hejazi [aut] ORCID iD ORCID: 0000-0002-7127-2789 , Sandrine Dudoit [ctb, ths] ORCID iD ORCID: 0000-0002-6069-8629
Maintainer: Philippe Boileau <philippe_boileau at berkeley.edu>
citation("scPCA")):
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("scPCA")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("scPCA")
Details
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Package Archives
Follow Installation instructions to use this package in your R session.