This is the development version of pvca; for the stable release version, see pvca.
Principal Variance Component Analysis (PVCA)Bioconductor version: Development (3.22)
This package contains the function to assess the batch sourcs by fitting all "sources" as random effects including two-way interaction terms in the Mixed Model(depends on lme4 package) to selected principal components, which were obtained from the original data correlation matrix. This package accompanies the book "Batch Effects and Noise in Microarray Experiements, chapter 12.
Author: Pierre Bushel <bushel at niehs.nih.gov>
Maintainer: Jianying LI <li11 at niehs.nih.gov>
Citation (from within R, entercitation("pvca")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("pvca")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("pvca")
Batch effect estimation in Microarray data PDF R Script Reference Manual PDF Details See More Package Archives
Follow Installation instructions to use this package in your R session.
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