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 |
Common Bioconductor workflows include:
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