MultiMeasure-class {consensus} | R Documentation

## Multi-platform genomic measurements across the same samples - class

### Description

An S4 class that stores normalised matched genomic data from multiple platforms and/or laboratory conditions (e.g. from microarrays, RNA-Seq and other sequencing assays).

### List Components

This class has two slots, `names` and `data`.

`names`:

  character vector contains the names of each data type (e.g. RNA-Seq, Agilent etc.). Must be the same `length` as `data`.

`data`:

  list of numeric matrices of identical `dim`, `rownames` and `colnames` where each matrix contains the measurements from the platform/condition described in `names`. Rows of each matrix correspond to genomic features and columns to samples. Must be the same length as `names`.

### Methods

`MultiMeasure` objects have a `show` method that describes the dimensions of the data, in the form: `MultiMeasure object with i platforms/conditions, j samples and k measured loci`.

### Author(s)

Tim Peters <t.peters@garvan.org.au>

### See Also

`MultiMeasure` constructs MultiMeasure objects.

[Package consensus version 1.12.0 Index]