Bioconductor version: Release (2.11)
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>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("metaArray")
To cite this package in a publication, start R and enter:
citation("metaArray")
| R Script | metaArray Vignette | |
| Reference Manual |
| biocViews | Bioinformatics, DifferentialExpression, Microarray, Software |
| Version | 1.36.0 |
| In Bioconductor since | BioC 1.8 (R-2.3) |
| License | LGPL-2 |
| Depends | |
| Imports | Biobase, MergeMaid, graphics, stats |
| Suggests | |
| System Requirements | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | oneChannelGUI |
| Package Source | metaArray_1.36.0.tar.gz |
| Windows Binary | metaArray_1.36.0.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) | metaArray_1.36.0.tgz |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
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