Epigenetic and gene expression data normalization and integration with mixture models

Bioconductor version: Release (2.12)

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>

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PDF R Script epigenomix package vignette
PDF   Reference Manual


biocViews ChIPseq, Classification, DifferentialExpression, GeneExpression, Software
Version 1.0.1
In Bioconductor since BioC 2.13 (R-2.18)
License LGPL-3
Depends R (>= 2.12.0), methods, Biobase, IRanges, GenomicRanges
Imports methods, BiocGenerics, Biobase, IRanges, GenomicRanges, beadarray
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Package Source epigenomix_1.0.1.tar.gz
Windows Binary epigenomix_1.0.1.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) epigenomix_1.0.1.tgz
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