Bayesian Modeling of ChIP-chip Data Through Hidden Ising Models

Bioconductor version: Release (2.11)

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>

To install this package, start R and enter:


To cite this package in a publication, start R and enter:



PDF R Script iChip
PDF   Reference Manual


biocViews Affymetrix, Agilent,Microarray, Bioinformatics, ChIPchip, NimbleGen, Software
Version 1.12.0
In Bioconductor since BioC 2.6 (R-2.11)
License GPL (>= 2)
Depends R (>= 2.10.0)
Imports limma
System Requirements
Depends On Me
Imports Me
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Package Source iChip_1.12.0.tar.gz
Windows Binary iChip_1.12.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) iChip_1.12.0.tgz
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