pwodgdsn: Probe-Wise Outlier Detection for DNA methylation data.

In bigmelon: Illumina methylation array analysis for large experiments

Description

Function performed outlier detection for each probe (row) using Tukey's Interquartile Range method.

Usage

pwod.gdsn(node, mul = 4)

Arguments

node	gdsn.class node that contains the data matrix to be filtered
mul	The number of interquartile ranges used to determine outlying probes. Default is 4 to ensure only very obvious outliers are removed.

Details

Detects outlying probes across arrays in methylumi and minfi objects.

Value

Nothing is returned. However the supplied gds object (of-which the node is a child of) will have a new node with NAs interdispersed where outliers are found.

Author(s)

Tyler Gorrie-Stone Who to contact: <[e-mail]>

See Also

pwod

Examples

data(melon)
e <- es2gds(melon, "melon.gds")
pwod(e)
closefn.gds(e)
unlink("melon.gds")

bigmelon documentation built on Nov. 8, 2020, 7:40 p.m.