pwod.gdsn {bigmelon} | R Documentation

## Probe-Wise Outlier Detection for DNA methylation data.

### 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: <t.gorrie-stone@qmul.ac.uk>

### See Also

`pwod`

### Examples

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

[Package bigmelon version 1.16.0 Index]