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

iChip

Bayesian Modeling of ChIP-chip Data Through Hidden Ising Models

Bioconductor version: 2.13

This package uses hidden Ising models to identify enriched genomic regions in ChIP-chip data. It can be used to analyze the data from multiple platforms (e.g., Affymetrix, Agilent, and NimbleGen), and the data with single to multiple replicates.

Author: Qianxing Mo

Maintainer: Qianxing Mo <qmo at bcm.edu>

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("iChip")

 

PDF	R Script	iChip
PDF		Reference Manual

Details

biocViews	Affymetrix, Agilent, Bioinformatics, ChIPchip, Microarray, NimbleGen, Software
Version	1.16.0
In Bioconductor since	BioC 2.6 (R-2.11)
License	GPL (>= 2)
Depends	R (>= 2.10.0)
Imports	limma
Suggests
System Requirements
URL
Depends On Me
Imports Me
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Package Archives

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

Package Source	iChip_1.16.0.tar.gz
Windows Binary	iChip_1.16.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	iChip_1.16.0.tgz
Browse/checkout source	(username/password: readonly)
Package Downloads Report	Download Stats