AbstractCurveNormalization: The AbstractCurveNormalization class
In HenrikBengtsson/aroma.cn: Copy-Number Analysis of Large Microarray Data Sets

AbstractCurveNormalization

R Documentation

The AbstractCurveNormalization class

Description

Package: aroma.cn
Class AbstractCurveNormalization

Object
~~|
~~+--AbstractCurveNormalization

Directly known subclasses:
PrincipalCurveNormalization, XYCurveNormalization

public abstract static class AbstractCurveNormalization
extends Object

Usage

AbstractCurveNormalization(dataSet=NULL, targetSet=NULL, subsetToFit=NULL, tags="*",
  copyTarget=TRUE, ...)

Arguments

`dataSet`	An `AromaUnitTotalCnBinarySet` of "test" samples to be normalized.
`targetSet`	An `AromaUnitTotalCnBinarySet` of paired target samples.
`subsetToFit`	The subset of loci to be used to fit the normalization functions. If `NULL`, loci on chromosomes 1-22 are used, but not on ChrX and ChrY.
`tags`	(Optional) Sets the tags for the output data sets.
`copyTarget`	If `TRUE`, target arrays are copied to the output data set, otherwise not.
`...`	Not used.

Fields and Methods

Methods:

	`getFullName`	-
	`getInputDataSet`	-
	`getName`	-
	`getOutputDataSet`	-
	`getTags`	-
	`getTargetDataSet`	-
	`process`	-
	`setTags`	-

Methods inherited from Object:
$, $<-, [[, [[<-, as.character, attach, attachLocally, clearCache, clearLookupCache, clone, detach, equals, extend, finalize, getEnvironment, getFieldModifier, getFieldModifiers, getFields, getInstantiationTime, getStaticInstance, hasField, hashCode, ll, load, names, objectSize, print, save, asThis