cvArray {AgiMicroRna} | R Documentation |
Identifies replicated features at probe and at gene level and computes the coefficient of variation of the array
cvArray(ddDUP, foreground = c("MeanSignal", "ProcessedSignal"),targets,verbose=FALSE)
ddDUP |
uRNAList, containing the output from |
foreground |
Specifies the signal used, only "MeanSignal" or "ProcessedSignal" can be used |
targets |
data.frame with the target structure |
verbose |
logical, if |
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.
It prints out the results of the replication for the NON CONTROL FEATURES at a probe and gene level.
Pedro Lopez-Romero
## Not run: data(dd.micro) data(targets.micro) cvArray(dd.micro,"MeanSignal",targets.micro,verbose=TRUE) graphics.off() ## End(Not run)