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>

Citation (from within R, enter citation("metaArray")):

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
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

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/
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