To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://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 (3.3)

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:

## try http:// if https:// URLs are not supported
source("https://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 1.32.0
In Bioconductor since BioC 2.2 (R-2.7) (8 years)
License Artistic-2.0
Depends R (>= 2.10)
Imports
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source BAC_1.32.0.tar.gz
Windows Binary BAC_1.32.0.zip (32- & 64-bit)
Mac OS X 10.9 (Mavericks) BAC_1.32.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/BAC/tree/release-3.3
Package Short Url http://bioconductor.org/packages/BAC/
Package Downloads Report Download Stats

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