To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("metaArray")

In most cases, you don't need to download the package archive at all.

metaArray

DOI: 10.18129/B9.bioc.metaArray

Integration of Microarray Data for Meta-analysis

Bioconductor version: Release (3.5)

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 and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("metaArray")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("metaArray")
PDF R Script metaArray Vignette
PDF Reference Manual

Details

Version 1.54.0
In Bioconductor since BioC 1.8 (R-2.3) (11.5 years)
License LGPL-2
Depends
Imports Biobase, MergeMaid, graphics, stats
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me oneChannelGUI

Package Archives

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

Source Package metaArray_1.54.0.tar.gz
Windows Binary metaArray_1.54.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan) metaArray_1.54.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/metaArray
Package Downloads Report Download Stats

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations:

AltStyle によって変換されたページ (->オリジナル) /