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("metaArray")
):
Installation
To install this package, start R (version "4.0") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("metaArray")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
Reference Manual |
Details
biocViews | DifferentialExpression, Microarray, Software |
Version | 1.68.0 |
In Bioconductor since | BioC 1.8 (R-2.3) (18 years) |
License | LGPL-2 |
Depends | |
Imports | Biobase, MergeMaid, graphics, stats |
System Requirements | |
URL |
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Build Report | 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/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.12 | Source Archive |