iChip
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 <qianxing.mo at moffitt.org>
citation("iChip")
):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("iChip")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("iChip")
iChip | R Script | |
Reference Manual |
Details
biocViews | AgilentChip, ChIPchip, Microarray, OneChannel, Software |
Version | 1.59.0 |
In Bioconductor since | BioC 2.6 (R-2.11) (14.5 years) |
License | GPL (>= 2) |
Depends | R (>= 2.10.0) |
Imports | limma |
System Requirements | |
URL |
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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 | iChip_1.59.0.zip |
macOS Binary (x86_64) | iChip_1.59.0.tgz |
macOS Binary (arm64) | iChip_1.59.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/iChip |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/iChip |
Bioc Package Browser | https://code.bioconductor.org/browse/iChip/ |
Package Short Url | https://bioconductor.org/packages/iChip/ |
Package Downloads Report | Download Stats |