metaArray

DOI: 10.18129/B9.bioc.metaArray    

This package is deprecated. It will probably be removed from Bioconductor. Please refer to the package end-of-life guidelines for more information.

This package is for version 3.12 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see metaArray.

Integration of Microarray Data for Meta-analysis

Bioconductor version: 3.12

1) Data transformation for meta-analysis of microarray Data: Transformation of gene expression data to signed probability scale (MCMC/EM methods) 2) Combined differential expression on raw scale: Weighted Z-score after stabilizing mean-variance relation within platform

Author: Debashis Ghosh <ghoshd at psu.edu> Hyungwon Choi <hyung_won_choi at nuhs.edu.sg>

Maintainer: Hyungwon Choi <hyung_won_choi at nuhs.edu.sg>

Installation

To install this package, start R (version "4.0") and enter:

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

BiocManager::install("metaArray")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

PDF		Reference Manual

Details

biocViews	DifferentialExpression, Microarray, Software
Version	1.68.0
In Bioconductor since	BioC 1.8 (R-2.3) (15 years)
License	LGPL-2
Depends
Imports	Biobase, MergeMaid, graphics, stats
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Package Archives

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

Source Package
Windows Binary
macOS 10.13 (High Sierra)
Source Repository	git clone https://git.bioconductor.org/packages/metaArray
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/metaArray
Package Short Url	https://bioconductor.org/packages/metaArray/
Package Downloads Report	Download Stats