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
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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")
| R Script | iChip | |
| 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 |
Documentation »
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