negativeFactor {NanoStringDiff} | R Documentation

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

### Description

Negative size factors can be used to adjust background niose for each sample.

### Usage

    ## S4 method for signature 'NanoStringSet'
    negativeFactor(object)
    ## S4 replacement method for signature 'NanoStringSet,numeric'
    negativeFactor(object) <- value

### Arguments

`object` | A NanoStringSet object.
`value` | A vector of background noise.

### Details

Accurate estimation of system background is essential for DE detection analysis. Each code set in the nCounter Analyzer includes several negatives control genes for which no tranCounterript is expected to be present. We use these spike-in negative control genes to estimate background noise for each sample

### Value

A vector contain background noise

### Author(s)

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

### See Also

negativeControl

### Examples

    data(NanoStringData)
    ## obtain negative factors
    negativeFactor(NanoStringData)

    ## assign a vector
    n=ncol(exprs(NanoStringData))
    lamda=rpois(n,10)
    negativeFactor(NanoStringData)=lamda

[Package NanoStringDiff version 1.9.2 Index]