Description Usage Arguments Value
This function normalises microarray data by fitting a linear model and then using the residuals of the fit as the normalised data. It is normally called from arrayNorm().
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x |
MultiSet Object |
sampleID |
vector of sample unique identifiers |
featureID |
vector of feature identifiers (can include repeated features) |
controlID |
vector of control feature identifiers (default = NULL) |
include.subarrays |
boolean - to use subarrays as a factor in the linear model (default = TRUE) |
matrix of normalised intensities
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