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.

BAC

Bayesian Analysis of Chip-chip experiment

Bioconductor version: Release (2.14)

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")):

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("BAC")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("BAC")

 

PDF R Script 1. Primer
PDF   Reference Manual

Details

biocViews Microarray, Software, Transcription
Version 1.24.0
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

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source BAC_1.24.0.tar.gz
Windows Binary BAC_1.24.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) BAC_1.24.0.tgz
Mac OS X 10.9 (Mavericks) BAC_1.24.0.tgz
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