DIME: DIME (Differential Identification using Mixture Ensemble)

A robust differential identification method that considers an ensemble of finite mixture models combined with a local false discovery rate (fdr) to analyze ChIP-seq (high-throughput genomic)data comparing two samples allowing for flexible modeling of data.

Version: 1.2
Published: 2013-12-09
Author: Cenny Taslim, with contributions from Dustin Potter, Abbasali Khalili and Shili Lin.
Maintainer: Cenny Taslim <taslim.2 at osu.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: DIME results


Reference manual: DIME.pdf
Package source: DIME_1.2.tar.gz
Windows binaries: r-devel: DIME_1.2.zip, r-release: DIME_1.2.zip, r-oldrel: DIME_1.2.zip
OS X Snow Leopard binaries: r-release: DIME_1.2.tgz, r-oldrel: DIME_1.2.tgz
OS X Mavericks binaries: r-release: DIME_1.2.tgz
Old sources: DIME archive

Reverse dependencies:

Reverse depends: BOG