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pvca

This is the released version of pvca; for the devel version, see pvca.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2, 3.1, 3.0, 2.14, 2.13, 2.12

Principal Variance Component Analysis (PVCA)


Bioconductor version: Release (3.23)

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, enter citation("pvca")):

Pierre Bushel. pvca: Principal Variance Component Analysis (PVCA). doi:10.18129/B9.bioc.pvca, R package version 1.52.0, https://bioconductor.org/packages/pvca.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

BiocManager::install("pvca")

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("pvca")
Batch effect estimation in Microarray data PDF R Script
Reference ManualPDF

Details

biocViews BatchEffect, Microarray, Software
Version1.52.0
In Bioconductor sinceBioC 2.12 (R-3.0) (13.5 years)
License LGPL (>= 2.0)
Depends R (>= 2.15.1)
Imports Matrix, Biobase, vsn, stats, lme4
System Requirements
URL
See More
Suggests golubEsets
Linking To
Enhances
Depends On Me
Imports Me ExpressionNormalizationWorkflow, proBatch
Suggests Me omicsTools
Links To Me
Build Report Build Report, r-universe

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package pvca_1.52.0.tar.gz
Windows Binary (x86_64) pvca_1.52.0.zip
macOS Binary (big-sur-x86_64) pvca_1.52.0.tgz
macOS Binary (sonoma-arm64) pvca_1.52.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/pvca
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/pvca
Package Short Url https://bioconductor.org/packages/pvca/
Package Downloads ReportDownload Stats