Registration Open for Bioc2024 July 24-26


This is the development version of iChip; for the stable release version, see iChip.

Bayesian Modeling of ChIP-chip Data Through Hidden Ising Models

Bioconductor version: Development (3.20)

Hidden Ising models are implemented to identify enriched genomic regions in ChIP-chip data. They 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 < at>

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


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


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


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

iChip PDF R Script
Reference Manual PDF


biocViews AgilentChip, ChIPchip, Microarray, OneChannel, Software
Version 1.59.0
In Bioconductor since BioC 2.6 (R-2.11) (14 years)
License GPL (>= 2)
Depends R (>= 2.10.0)
Imports limma
System Requirements
See More
Linking To
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

Source Package iChip_1.59.0.tar.gz
Windows Binary
macOS Binary (x86_64) iChip_1.59.0.tgz
macOS Binary (arm64) iChip_1.59.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
Bioc Package Browser
Package Short Url
Package Downloads Report Download Stats