BAC

DOI: 10.18129/B9.bioc.BAC    

Bayesian Analysis of Chip-chip experiment

Bioconductor version: Release (3.13)

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>

Installation

To install this package, start R (version "4.1") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("BAC")

For older versions of R, please refer to the appropriate Bioconductor release.

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	1.52.0
In Bioconductor since	BioC 2.2 (R-2.7) (13.5 years)
License	Artistic-2.0
Depends	R (>= 2.10)
Imports
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Build Report

Package Archives

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

Source Package	BAC_1.52.0.tar.gz
Windows Binary	BAC_1.52.0.zip (32- & 64-bit)
macOS 10.13 (High Sierra)	BAC_1.52.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/BAC
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/BAC
Package Short Url	https://bioconductor.org/packages/BAC/
Package Downloads Report	Download Stats