positiveControl {NanoStringDiff} | R Documentation |
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