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 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.

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

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References