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CpGFilter  

CpG Filtering Method Based on Intra-Class Correlation Coefficients
View on CRAN: Click here


Download and install CpGFilter package within the R console
Install from CRAN:
install.packages("CpGFilter")

Install from Github:
library("remotes")
install_github("cran/CpGFilter")

Install by package version:
library("remotes")
install_version("CpGFilter", "1.1")



Attach the package and use:
library("CpGFilter")
Maintained by
Jun Chen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-11-06
Latest Update: 2017-08-23
Description:
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.
How to cite:
Jun Chen (2014). CpGFilter: CpG Filtering Method Based on Intra-Class Correlation Coefficients. R package version 1.1, https://cran.r-project.org/web/packages/CpGFilter. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.0 (2014-11-06 01:21)
Other packages that cited CpGFilter R package
View CpGFilter citation profile
Other R packages that CpGFilter depends, imports, suggests or enhances
Complete documentation for CpGFilter
Functions, R codes and Examples using the CpGFilter R package
Some associated functions: CpGFilterICC . 
Some associated R codes: CpGFilterICC.R .  Full CpGFilter package functions and examples
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