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.

Install the latest version of this package by entering the following in R:
install.packages("DIME")
AuthorCenny Taslim <taslim.2@osu.edu>, with contributions from Dustin Potter, Abbasali Khalili and Shili Lin <shili@stat.osu.edu>.
Date of publication2013-12-09 23:08:40
MaintainerCenny Taslim <taslim.2@osu.edu>
LicenseGPL (>= 2)
Version1.2

View on CRAN

Functions

DIME Man page
DIME.classify Man page
DIME_package Man page
DIME.package Man page
DIME.plot Man page
DIME.plot.fit Man page
gng.classify Man page
gng.fit Man page
gng.plot.comp Man page
gng.plot.fit Man page
gng.plot.mix Man page
gng.plot.qq Man page
huber Man page
inudge.classify Man page
inudge.fit Man page
inudge.plot.comp Man page
inudge.plot.fit Man page
inudge.plot.mix Man page
inudge.plot.qq Man page
nudge.classify Man page
nudge.fit Man page
nudge.plot.comp Man page
nudge.plot.fit Man page
nudge.plot.mix Man page
nudge.plot.qq Man page

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.