mlda.sig {MLDA}R Documentation

Identification of differentially methylated loci

Description

This function is to identify the differentially methylated loci between two classes of samples.

Usage

mlda.sig(score.obj, dataset, loci.ID = NULL, pvalue = 0.01, filter = TRUE)

Arguments

score.obj An object from score.cal()
dataset A dataset object from mlda.data()
loci.ID loci ID on DMH array
pvalue p value for positive and negative outliers
filter The low quality probes are excluded by default

Value

A list containing:

loci.up hypermethylated loci in class 2, sensitive and resistant scores
loci.down hypomethylated loci in class 2, sensitive and resistnat scores
pos.p p value for positive outlier
neg.p p value for negative outlier

Author(s)

Wei Dai w.dai@imperial.ac.uk

See Also

MLDA Examples are included


[Package MLDA version 1.0-1 Index]