Bioconductor version: Development (2.8)
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 Hyungwon Choi
Maintainer: Hyungwon Choi 
To install this package, start R and enter:
source("http:///biocLite.R")
biocLite("metaArray")    
| R Script | metaArray Vignette | 
| biocViews | Microarray, Bioinformatics, DifferentialExpression | 
| Depends | |
| Imports | Biobase, MergeMaid, graphics, stats | 
| Suggests | |
| System Requirements | |
| License | LGPL-2 | 
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | oneChannelGUI | 
| Version | 1.27.0 | 
| Package Source | metaArray_1.27.0.tar.gz | 
| Windows Binary | metaArray_1.27.0.zip (32-bit only) | 
| MacOS 10.5 (Leopard) binary | metaArray_1.27.0.tgz | 
| Package Downloads Report | Download Stats | 
Common Bioconductor workflows include:
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