positiveControl {NanoStringDiff} | R Documentation

## Acessor functions for the 'positiveControl' slot in a NanoStringSet object.

### Description

nCounter Analyzer has positive spike-in RNA hybridization controls for each sample which can be used to estimate the overall efficiency of hybridization and recovery for each sample.

### Usage

    ## S4 method for signature 'NanoStringSet'
    positiveControl(object)
    ## S4 replacement method for signature 'NanoStringSet,matrix'
    positiveControl(object) <- value

### Arguments

`object` | A NanoStringSet object.
`value` | A matrix with six positive control genes.

### Details

Positive control genes are provided by NanoString nCounter technology. For each sample, nCounter provide six positive controls corresponding to six different concentrations in the 30 ul hybridzation: 128fM, 32fM, 8fM, 2fM, 0.5fM, and 0.125fM. Six positive control genes must be order by concentrations from high to low.

### Value

A matrix contain positive control genes

### Author(s)

Hong Wang <hong.wang@uky.edu> chi wang <chi.wang@uky.edu>

### See Also

positiveFactor

### Examples

    data(NanoStringData)
    ## obtain positive control genes
    positiveControl(NanoStringData)

    ## assign a matrix
    n=ncol(exprs(NanoStringData))
    x=matrix(c(128,32,8,2,0.5,0.125)*80,ncol=1)
    positive=matrix(rpois(6*n,x),ncol=n)
    positiveControl(NanoStringData)=positive

[Package NanoStringDiff version 1.9.2 Index]