titrationResponse {miRcomp} | R Documentation

## Assess monotone signal across titration

### Description

This function determines

### Usage

    titrationResponse(object1, qcThreshold1, object2=NULL, qcThreshold2=NULL,
                      commonFeatures=TRUE, label1=NULL, label2=NULL)

### Arguments

`object1` | a list containing two elements: ct (the expression estiamtes) 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.
`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 table listing the number of features showing a monotone titration response and a figure showing the proportion of features showing a monotone titration response vs the difference in pure sample expression.

### Author(s)

Matthew N. McCall

### Examples

      data(lifetech)
      titrationResponse(object1=lifetech,qcThreshold1=1.25)
      data(qpcRdefault)
      titrationResponse(object1=lifetech,qcThreshold1=1.25,
               object2=qpcRdefault,qcThreshold2=0.99)

[Package miRcomp version 1.17.0 Index]