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.
Bioconductor version: Release (3.4)
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")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("metaArray")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("metaArray")
R Script | metaArray Vignette | |
Reference Manual |
biocViews | DifferentialExpression, Microarray, Software |
Version | 1.52.0 |
In Bioconductor since | BioC 1.8 (R-2.3) (11 years) |
License | LGPL-2 |
Depends | |
Imports | Biobase, MergeMaid, graphics, stats |
LinkingTo | |
Suggests | |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | oneChannelGUI |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | metaArray_1.52.0.tar.gz |
Windows Binary | metaArray_1.52.0.zip (32- & 64-bit) |
Mac OS X 10.9 (Mavericks) | metaArray_1.52.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/metaArray/tree/release-3.4 |
Package Short Url | http://bioconductor.org/packages/metaArray/ |
Package Downloads Report | Download Stats |
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