CpGFilter: CpG Filtering Method Based on Intra-class Correlation Coefficients

Filter CpGs based on Intra-class Correlation Coefficients (ICCs) when replicates are available. ICCs are calculated by fitting linear mixed effects models to all samples including the un-replicated samples. Including the large number of un-replicated samples improves ICC estimates dramatically. The method accommodates any replicate design.

Version: 1.0
Published: 2014-11-06
Author: Jun Chen
Maintainer: Jun Chen <chen.jun2 at mayo.edu>
License: GPL-2
NeedsCompilation: no
CRAN checks: CpGFilter results


Reference manual: CpGFilter.pdf
Package source: CpGFilter_1.0.tar.gz
Windows binaries: r-devel: CpGFilter_1.0.zip, r-release: CpGFilter_1.0.zip, r-oldrel: CpGFilter_1.0.zip
OS X Snow Leopard binaries: r-release: CpGFilter_1.0.tgz, r-oldrel: CpGFilter_1.0.tgz
OS X Mavericks binaries: r-release: CpGFilter_1.0.tgz