CpGFilter: CpG Filtering Method Based on Intra-class Correlation Coefficients
Version 1.0

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.

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AuthorJun Chen
Date of publication2014-11-06 01:21:42
MaintainerJun Chen <chen.jun2@mayo.edu>
LicenseGPL-2
Version1.0
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("CpGFilter")

Man pages

B2M: Convert CpG Beta value to M value
CpGFilterICC: CpG filtering method based on intra-class correlation...
CpGFilter-package: CpG filtering method based on linear mixed effects model.

Functions

B2M Man page Source code
CpGFilter Man page
CpGFilter-package Man page
CpGFilterICC Man page Source code

Files

NAMESPACE
R
R/CpGFilterICC.R
R/B2M.R
MD5
DESCRIPTION
man
man/CpGFilter-package.Rd
man/B2M.Rd
man/CpGFilterICC.Rd
CpGFilter documentation built on May 29, 2017, 9:46 a.m.