The SampleNormalization class

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Description

Package: NSA
Class SampleNormalization

Object
~~|
~~+--SampleNormalization

Directly known subclasses:

public static class SampleNormalization
extends Object

This class represents the Sample normalization method [1], which looks for normal regions within the tumoral samples.

Usage

1

Arguments

data

A named list with data set named "total" and "fracB" where the former should be of class AromaUnitTotalCnBinarySet and the latter of class AromaUnitFracBCnBinarySet. The two data sets must be for the same chip type, have the same number of samples and the same sample names.

tags

Tags added to the output data sets.

...

Not used.

Details

...

Fields and Methods

Methods:

findArraysTodo -
getDataSets -
getFullName -
getName -
getOutputDataSets -
getPath -
getRootPath -
getTags -
nbrOfFiles -
process Finds normal regions within tumoral samples.
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

References

[1] ...

See Also

Low-level versions of the Sample normalization method is available via the sampleNByTotalAndFracB.numeric() methods.