source("http://bioconductor.org/biocLite.R")
biocLite("epigenomix")

epigenomix

Epigenetic and gene expression data normalization and integration with mixture models

Bioconductor version: 2.13

A package for the integrative analysis of microarray based gene expression and histone modification data obtained by ChIP-seq. The package provides methods for data preprocessing and matching as well as methods for fitting bayesian mixture models in order to detect genes with differences in both data types.

Author: Hans-Ulrich Klein, Martin Schaefer

Maintainer: Hans-Ulrich Klein <h.klein at uni-muenster.de>

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("epigenomix")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("epigenomix")

 

PDF	R Script	epigenomix package vignette
PDF		Reference Manual

Details

biocViews	ChIPseq, Classification, DifferentialExpression, GeneExpression, Software
Version	1.2.0
In Bioconductor since	BioC 2.12 (R-3.0)
License	LGPL-3
Depends	R (>= 2.12.0), methods, Biobase, IRanges, GenomicRanges
Imports	methods, BiocGenerics, Biobase, IRanges, GenomicRanges, beadarray
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Package Archives

Follow Installation instructions to use this package in your R session.

Package Source	epigenomix_1.2.0.tar.gz
Windows Binary	epigenomix_1.2.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	epigenomix_1.2.0.tgz
Browse/checkout source	(username/password: readonly)
Package Downloads Report	Download Stats