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>
To install this package, start R and enter:
    source("http://bioconductor.org/biocLite.R")
    biocLite("epigenomix")
    To cite this package in a publication, start R and enter:
    citation("epigenomix")
    | R Script | epigenomix package vignette | |
| 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 | 
| Suggests | |
| System Requirements | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | 
| 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 | 
| Package Downloads Report | Download Stats | 
 
  
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