arle: Array relative log expression

Description Usage Arguments Value See Also Examples

View source: R/transformations.r

Description

The relative log expression (RLE) quantifies the extent to which each sample in a dataset differs from a "reference" sample, which represents each probe's median value across all samples.

Usage

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arle(x, log2 = TRUE, normalize = TRUE)

Arguments

x

a three-dimensional array of matrices

log2

should values be $log_2$ transformed

normalize

should values be quantile normalized

Value

an array with the same dimensions as x

See Also

RLE

Other array.transformations: arank

Examples

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# microarray visualization
if (require(affydata, quietly = TRUE)) {
  data("Dilution", package = "affydata")
  x <- arle(marray(Dilution, transpose = TRUE))
}

Bioconductor-mirror/mimager documentation built on June 1, 2017, 12:44 p.m.