assocComp-methods: Associate principal components with sample annotations

In fortunatobianconi/methylkit: DNA methylation analysis from high-throughput bisulfite sequencing results

Description

This function associates principal components with sample annotations such as age, gender, batch_id. Can be used to detect which batch effects are associated with the variation in the methylation values.

Usage

  assocComp(mBase, sampleAnnotation)

Arguments

mBase	methylBase object with no NA values in the data part.
sampleAnnotation	a data frame where columns are different annotations and rows are the samples, in the same order as in the methylBase object.

Value

a named list of principal component matrix (named 'pcs'), (named 'vars') and a p-value matrix showing association p-values between sample annotations and principal components (named 'association').

Author(s)

Altuna Akalin

Examples

data(methylKit)
sampleAnnotation=data.frame(batch_id=c("a","a","b","b"),age=c(19,34,23,40))
as=assocComp(mBase=methylBase.obj,sampleAnnotation)

fortunatobianconi/methylkit documentation built on May 16, 2019, 1:51 p.m.