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: 1.1
Depends: R (≥ 3.1.0)
Imports: stats, matrixStats
Published: 2017-08-23
DOI: 10.32614/CRAN.package.CpGFilter
Author: Jun Chen
Maintainer: Jun Chen <chen.jun2 at mayo.edu>
License: GPL-3
NeedsCompilation: no
CRAN checks: CpGFilter results


Reference manual: CpGFilter.pdf


Package source: CpGFilter_1.1.tar.gz
Windows binaries: r-devel: CpGFilter_1.1.zip, r-release: CpGFilter_1.1.zip, r-oldrel: CpGFilter_1.1.zip
macOS binaries: r-release (arm64): CpGFilter_1.1.tgz, r-oldrel (arm64): CpGFilter_1.1.tgz, r-release (x86_64): CpGFilter_1.1.tgz, r-oldrel (x86_64): CpGFilter_1.1.tgz
Old sources: CpGFilter archive


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