Learn R Programming

NSA (version 0.0.32)

NSANormalization: The NSANormalization class

Description

Package: NSA Class NSANormalization

Object ~~| ~~+--NSANormalization

Directly known subclasses:

public static class NSANormalization extends Object

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

Usage

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

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.

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

Details

...

References

[1] ...

See Also

Low-level versions of the NSA normalization method is available via the NSAByTotalAndFracB.matrix() methods.