iChip: Bayesian Modeling of ChIP-chip Data Through Hidden Ising Models

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.

Getting started

Package details

AuthorQianxing Mo
Bioconductor views AgilentChip ChIPchip Microarray OneChannel
MaintainerQianxing Mo <qianxing.mo@moffitt.org>
LicenseGPL (>= 2)
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


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iChip documentation built on Nov. 8, 2020, 8:19 p.m.