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 (3.21)
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 "4.5") 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 | 1.61.0 |
| 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 |
See More
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| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | |
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| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | iChip_1.61.0.tar.gz |
| Windows Binary (x86_64) | |
| macOS Binary (x86_64) | |
| macOS Binary (arm64) | |
| 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 |