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.
Bioconductor version: Release (3.5)
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")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("iChip")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("iChip")
R Script | iChip | |
Reference Manual |
biocViews | AgilentChip, ChIPchip, Microarray, OneChannel, Software |
Version | 1.30.0 |
In Bioconductor since | BioC 2.6 (R-2.11) (7.5 years) |
License | GPL (>= 2) |
Depends | R (>= 2.10.0) |
Imports | limma |
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Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | iChip_1.30.0.tar.gz |
Windows Binary | iChip_1.30.0.zip (32- & 64-bit) |
Mac OS X 10.11 (El Capitan) | iChip_1.30.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/iChip |
Package Short Url | http://bioconductor.org/packages/iChip/ |
Package Downloads Report | Download Stats |
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