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pvca

Principal Variance Component Analysis (PVCA)

Bioconductor version: 3.23 · Package version: 1.52.0

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.

Installation

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

BiocManager::install("pvca")

Details

MaintainerJianying LI <li11@niehs.nih.gov>
AuthorPierre Bushel <bushel@niehs.nih.gov>
LicenseLGPL (>= 2.0)
Downloads rank724
Source branchRELEASE_3_23
biocViewsBatchEffect, Microarray, Software

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagepvca_1.52.0.tar.gz
Windows binary (x86_64)pvca_1.52.0.zip
macOS binary (arm64)pvca_1.52.0.tgz
macOS binary (x86_64)pvca_1.52.0.tgz
Dependencies

Depends: R (>= 2.15.1)

Imports: Matrix, Biobase, vsn, stats, lme4

Suggests: golubEsets

Reverse dependencies

Imports Me (2): ExpressionNormalizationWorkflow, proBatch

Suggests Me (1): omicsTools