cvArray {AgiMicroRna} | R Documentation

## Coefficient of variation of replicated probes within array

### Description

Identifies replicated features at probe and at gene level and computes the coefficient of variation of the array

### Usage

    cvArray(ddDUP, foreground = c("MeanSignal", "ProcessedSignal"),targets,verbose=FALSE)

### Arguments

`ddDUP` | uRNAList, containing the output from `readMicroRnaAFE`
`foreground` | Specifies the signal used, only "MeanSignal" or "ProcessedSignal" can be used
`targets` | data.frame with the target structure
`verbose` | logical, if `TRUE` prints out output

### Details

In the Agilent microRNA platforms the features are replicated at a probe level and normally, a single microRNA is interrogated by either two or four sets of replicated probes. The replication of the probes allows computing the coefficient of variation (CV) for each array as a measure of the reproducibility of the array. The CV is computed for every set of replicated probes and the CV median is reported as the array CV. A lower array CV indicates a better array reproducibility.

### Value

It prints out the results of the replication for the NON CONTROL FEATURES at a probe and gene level.

### Author(s)

Pedro Lopez-Romero

### Examples

    ## Not run:
    data(dd.micro)
    data(targets.micro)

    cvArray(dd.micro,"MeanSignal",targets.micro,verbose=TRUE)

    graphics.off()

    ## End(Not run)

[Package AgiMicroRna version 2.36.0 Index]