DChipQuantileNormalization {aroma.affymetrix} | R Documentation |
Package: aroma.affymetrix
Class DChipQuantileNormalization
Object
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AromaTransform
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Transform
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ProbeLevelTransform
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QuantileNormalization
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DChipQuantileNormalization
Directly known subclasses:
public static class DChipQuantileNormalization
extends QuantileNormalization
This class represents a special QuantileNormalization
using smooth-splines.
DChipQuantileNormalization(..., robust=FALSE)
... |
Arguments passed to the constructor of
QuantileNormalization . |
robust |
If TRUE , the normalization function is estimated
robustly, otherwise not. |
This normalization method implements the two-pass algorithm described in Bengtsson et al. (2008).
Methods:
process | Normalizes the data set. |
Methods inherited from QuantileNormalization:
clearCache, process
Methods inherited from Transform:
getOutputDataSet, getOutputDataSetOLD20090509, getOutputFiles
Methods inherited from AromaTransform:
getExpectedOutputFiles, getExpectedOutputFullnames, getFullName, getInputDataSet, getName, getOutputDataSet, getOutputDataSet0, getOutputFiles, getPath, getTags, isDone, process, setTags
Methods inherited from Object:
asThis, $, $<-, [[, [[<-, as.character, attach, attachLocally, clearCache, clone, detach, equals, extend, finalize, gc, getEnvironment, getFields, getInstantiationTime, getStaticInstance, hasField, hashCode, ll, load, objectSize, print, registerFinalizer, save
Henrik Bengtsson (http://www.braju.com/R/)
[1] H. Bengtsson, R. Irizarry, B. Carvalho, & T.P. Speed. Estimation and assessment of raw copy numbers at the single locus level, Bioinformatics, 2008.