positiveControl: Acessor functions for the 'positiveControl' slot in a...
In NanoStringDiff: Differential Expression Analysis of NanoString nCounter Data

Description Usage Arguments Details Value Author(s) See Also Examples

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.

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

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

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.

A matrix contain positive control genes

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

positiveFactor

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