To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("ABarray")
    In most cases, you don't need to download the package archive at all.
Bioconductor version: 2.13
Automated pipline to perform gene expression analysis for Applied Biosystems Genome Survey Microarray (AB1700) data format. Functions include data preprocessing, filtering, control probe analysis, statistical analysis in one single function. A GUI interface is also provided. The raw data, processed data, graphics output and statistical results are organized into folders according to the analysis settings used.
Author: Yongming Andrew Sun
Maintainer: Yongming Andrew Sun <sunya at appliedbiosystems.com>
Citation (from within R,
      enter citation("ABarray")):
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("ABarray")
    To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("ABarray")
    
| R Script | ABarray gene expression | |
| R Script | ABarray gene expression GUI interface | |
| Reference Manual | 
| biocViews | Microarray, OneChannel, Preprocessing, Software | 
| Version | 1.30.0 | 
| In Bioconductor since | BioC 1.9 (R-2.4) | 
| License | GPL | 
| Depends | |
| Imports | Biobase, graphics, grDevices, methods, multtest, stats, tcltk, utils | 
| Suggests | limma, LPE | 
| System Requirements | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | 
Follow Installation instructions to use this package in your R session.
| Package Source | ABarray_1.30.0.tar.gz | 
| Windows Binary | ABarray_1.30.0.zip (32- & 64-bit) | 
| Mac OS X 10.6 (Snow Leopard) | ABarray_1.30.0.tgz | 
| Browse/checkout source | (username/password: readonly) | 
| Package Downloads Report | Download Stats | 
 
  
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