smoothQuantileNormalization {lumi} | R Documentation

## Smooth quantile normalization

### Description

Smooth quantile normalization with a reference sample

### Usage

    smoothQuantileNormalization(dataMatrix, ref = NULL, adjData=NULL, logMode = TRUE, bandwidth = NULL, degree = 1, verbose = FALSE, ...)

### Arguments

`dataMatrix` | a matrix of microarray intensity data
`ref` | a vector of reference sample intensity, which matches the dataMatrix
`adjData` | data to be adjusted based on the ref and dataMatrix distribution
`logMode` | whether perform the analysis in log2 scale
`bandwidth` | a parameter used by `locpoly`
`degree` | a parameter used by `locpoly`
`verbose` | whether print the processing sample names
`...` | other parameters used by `locpoly`

### Value

a data matrix with intensity normalized.

### Author(s)

Pan DU

### See Also

See Also `adjColorBias.quantile`

[Package lumi version 2.46.0 Index]