pvca
Principal Variance Component Analysis (PVCA)
Bioconductor version: 3.24 · Package version: 1.53.0
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
| Maintainer | Jianying LI <li11@niehs.nih.gov> |
| Author | Pierre Bushel <bushel@niehs.nih.gov> |
| License | LGPL (>= 2.0) |
| Downloads rank | 724 |
| Source branch | devel |
| biocViews | BatchEffect, Microarray, Software |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | pvca_1.53.0.tar.gz |
| Windows binary (x86_64) | pvca_1.53.0.zip |
| macOS binary (arm64) | pvca_1.53.0.tgz |
| macOS binary (x86_64) | pvca_1.53.0.tgz |
Reverse dependencies
Imports Me (2): ExpressionNormalizationWorkflow, proBatch
Suggests Me (1): omicsTools