To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("iChip")

In most cases, you don't need to download the package archive at all.

iChip

 

   

Bayesian Modeling of ChIP-chip Data Through Hidden Ising Models

Bioconductor version: Release (3.4)

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>

Citation (from within R, enter citation("iChip")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://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 AgilentChip, ChIPchip, Microarray, OneChannel, Software
Version 1.28.0
In Bioconductor since BioC 2.6 (R-2.11) (7 years)
License GPL (>= 2)
Depends R (>= 2.10.0)
Imports limma
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 iChip_1.28.0.tar.gz
Windows Binary iChip_1.28.0.zip (32- & 64-bit)
Mac OS X 10.9 (Mavericks) iChip_1.28.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/iChip/tree/release-3.4
Package Short Url http://bioconductor.org/packages/iChip/
Package Downloads Report Download Stats

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