iChip
This is the released version of iChip; for the devel version, see iChip.
Bayesian Modeling of ChIP-chip Data Through Hidden Ising Models
Bioconductor version: Release (3.22)
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")
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")
Details
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Package Archives
Follow Installation instructions to use this package in your R session.