miRcomp (version 1.2.2)

accuracy: Assess the accuracy of the expression estimates

Description

This function assesses the signal detect slope (a measure of accuracy) for each feature.

Usage

accuracy(object1, qcThreshold1, object2=NULL, qcThreshold2=NULL, 
commonFeatures=TRUE, bins=3, label1=NULL, label2=NULL)

Arguments

object1
a list containing two elements: ct (the expression estimates) and qc (quality scores)
qcThreshold1
a numeric threshold corresponding to object1$qc below which values are considered low quality.
object2
an optional second list of the same format as object1, used to compare two methods.
qcThreshold2
a numeric threshold corresponding to object2$qc below which values are considered low quality.
commonFeatures
if TRUE and object2 is non-NULL, only high quality non-NA features in common between both objects are used.
bins
the number of bins to divide the data into.
label1
optional label corresponding to object 1 to be used in plotting.
label2
optional label corresponding to object 2 to be used in plotting.

Value

  • A plot of signal detect slopes stratified by difference in pure sample expression is produced, and a summary (median and MAD) of the signal detect slopes in each bin is returned.

Examples

Run this code
data(lifetech)
  accuracy(object1=lifetech,qcThreshold1=1.25)
  data(qpcRdefault)
  accuracy(object1=lifetech,qcThreshold1=1.25,
           object2=qpcRdefault,qcThreshold2=0.99)

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