AgiMicroRna (version 2.22.0)

cvArray: 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

Value

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

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.

Examples

## Not run: 
# data(dd.micro)
# data(targets.micro)
# 
# cvArray(dd.micro,"MeanSignal",targets.micro,verbose=TRUE)
# 
# graphics.off()
# ## End(Not run)