To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("BAC")
    In most cases, you don't need to download the package archive at all.
Bioconductor version: 2.13
This package uses a Bayesian hierarchical model to detect enriched regions from ChIP-chip experiments
Author: Raphael Gottardo
Maintainer: Raphael Gottardo <raph at stat.ubc.ca>
Citation (from within R,
      enter citation("BAC")):
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("BAC")
    To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("BAC")
    
| R Script | 1. Primer | |
| Reference Manual | 
| biocViews | Bioinformatics, Microarray, Software, Transcription | 
| Version | 1.22.0 | 
| In Bioconductor since | BioC 2.2 (R-2.7) | 
| License | Artistic-2.0 | 
| Depends | R (>= 2.10) | 
| Imports | |
| Suggests | |
| System Requirements | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | 
Follow Installation instructions to use this package in your R session.
| Package Source | BAC_1.22.0.tar.gz | 
| Windows Binary | BAC_1.22.0.zip (32- & 64-bit) | 
| Mac OS X 10.6 (Snow Leopard) | BAC_1.22.0.tgz | 
| Browse/checkout source | (username/password: readonly) | 
| Package Downloads Report | Download Stats | 
 
  
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