To install this package, start R and enter:

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

In most cases, you don't need to download the package archive at all.

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>

Citation (from within R, enter citation("epigenomix")):

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
Suggests
System Requirements
URL
Depends On Me
Imports Me
Suggests Me

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

Mailing Lists »

Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!

Fred Hutchinson Cancer Research Center