Hadoop Online Training by Edureka

AbstractCurveNormalization: The AbstractCurveNormalization class

Description Usage Arguments Fields and Methods Author(s)

Description

Package: aroma.cn
Class AbstractCurveNormalization

Object
~~|
~~+--AbstractCurveNormalization

Directly known subclasses:
PrincipalCurveNormalization, XYCurveNormalization

public abstract static class AbstractCurveNormalization
extends Object

Usage

1
2
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, objectSize, print, save, asThis

Author(s)

Henrik Bengtsson



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