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NSA (version 0.0.2)

SampleNormalization: The SampleNormalization class

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

SampleNormalization(data=NULL, tags="*", ...)

Arguments

data
A named list with data set named "total" and "fracB" where the former should be of class AromaUnitTot
tags
Tags added to the output data sets.
...
Not used.

Fields and Methods

Methods: rll{ 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

Details

...

References

[1] ...

See Also

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