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CpGassoc (version 2.70)

Association Between Methylation and a Phenotype of Interest

Description

Is designed to test for association between methylation at CpG sites across the genome and a phenotype of interest, adjusting for any relevant covariates. The package can perform standard analyses of large datasets very quickly with no need to impute the data. It can also handle mixed effects models with chip or batch entering the model as a random intercept. Also includes tools to apply quality control filters, perform permutation tests, and create QQ plots, manhattan plots, and scatterplots for individual CpG sites.

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Version

Install

install.packages('CpGassoc')

Monthly Downloads

356

Version

2.70

License

GPL (>= 2)

Maintainer

R Barfield

Last Published

July 16th, 2024

Functions in CpGassoc (2.70)

Other CpGassoc Functions

Information on miscellaneous other functions
cpg.assoc

Association Analysis Between Methylation Beta Values and Phenotype of Interest
design

Create full and reduced design matrices for the cpg.assoc function.
cpg.combine

Combine various objects of class "cpg"
cpg.work

Does the analysis between the CpG sites and phenotype of interest
manhattan

Create a manhattan plot
manhattan.reflect

Create a Reflective Manhattan plot
scatterplot

Plot beta values of individual CpG sites against the independent variable.
cpg.qc

Performs quality control on Illumina data.
Class cpg.perm

Methods for object of class "cpg.perm".
cpg

Methods for object of class "cpg"
cpg.everything

Multi-Task function
CpGassoc-package

Association Between Methylation and a Phenotype of Interest
cpg.perm

Perform a Permutation Test of the Association Between Methylation and a Phenotype of Interest
cpg.GC

cpg.GC and methods for output of function
Sample Data CpGassoc

Sample data from CpGassoc